{"meta":{"query_hash":"ec99ff718cb0","filters":{"venue":"Cambridge Journal of Evidence-Based Policing"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/ec99ff718cb0","api":"https://metacan.xera.ac/api/v1/cohort?venue=Cambridge+Journal+of+Evidence-Based+Policing"},"results":[{"id":"W3097666373","doi":"10.1007/s41887-020-00054-z","title":"Targeting Fatal Traffic Collision Risk from Prior Non-Fatal Collisions in Toronto","year":2020,"lang":"en","type":"article","venue":"Cambridge Journal of Evidence-Based Policing","topic":"Traffic and Road Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"University of Cambridge","keywords":"Collision; Period (music); Demography; Geography; Computer science; Physics; Computer security","score_opus":0.031157628431635633,"score_gpt":0.2665748157592185,"score_spread":0.23541718732758285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097666373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98074967,0.0011277141,0.0034071344,0.0006945789,0.000045648034,0.00011586333,0.0070654047,0.00009810282,0.00669593],"genre_scores_gemma":[0.99689156,0.00029100044,0.00081745896,0.0000199997,0.0000061885194,0.0000244987,0.001528714,0.0000037423786,0.0004168687],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903935,0.00014784554,0.000079682104,0.00020174526,0.00033573154,0.00019563259],"domain_scores_gemma":[0.9961994,0.0006085664,0.0012923775,0.00028298888,0.0012794178,0.00033719983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093130185,0.0006831979,0.0003430206,0.0015743228,0.0006725483,0.001166249,0.0011324163,0.00055116136,0.0019139632],"category_scores_gemma":[0.009200872,0.00048189147,0.0006318523,0.001539861,0.00035094641,0.00067794556,0.0011606241,0.0004205295,0.00045031987],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009157222,0.000022124706,0.97589207,0.00010954379,0.00010845771,0.00009657816,0.0006042842,0.011175849,0.00026817314,0.00017907815,0.0020032704,0.0094489455],"study_design_scores_gemma":[0.0000064788305,0.000045293953,0.978567,0.000089886074,0.00005950939,0.00008352447,0.0012105405,0.017836846,0.00029507774,0.00018875216,0.0015890246,0.000028039402],"about_ca_topic_score_codex":0.8550079,"about_ca_topic_score_gemma":0.9190715,"teacher_disagreement_score":0.14499211,"about_ca_system_score_codex":0.008245084,"about_ca_system_score_gemma":0.0051018754,"threshold_uncertainty_score":0.29169196},"labels":[],"label_agreement":null},{"id":"W3109936408","doi":"10.1007/s41887-020-00056-x","title":"Victim-Offender Overlap in Violent Crime: Targeting Crime Harm in a Canadian Suburb","year":2020,"lang":"en","type":"article","venue":"Cambridge Journal of Evidence-Based Policing","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Montreal Police Service","funders":"University of Cambridge","keywords":"Harm; Criminology; Violent crime; Psychology; Injury prevention; Poison control; Social psychology; Medical emergency; Medicine","score_opus":0.1901832798156389,"score_gpt":0.3957365249392528,"score_spread":0.20555324512361392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109936408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891431,0.0006310836,0.00035410508,0.0008557233,0.000022581335,0.0001127426,0.003734284,0.000019073748,0.0051273354],"genre_scores_gemma":[0.9956462,0.0005737842,0.0006587873,0.0001753819,0.000008267189,0.000047687223,0.0013997975,0.000014096263,0.0014760393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978229,0.00022893664,0.000099046556,0.00038058983,0.00066206045,0.0008064267],"domain_scores_gemma":[0.99595475,0.0001846983,0.000744112,0.00020988742,0.0021476522,0.0007589837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015417726,0.0005160735,0.0006554777,0.005030936,0.008211456,0.002062078,0.0029414685,0.0005649124,0.0028185062],"category_scores_gemma":[0.00487979,0.00060699316,0.00092247507,0.009697883,0.0021021862,0.00089315884,0.0032198923,0.000939942,0.00032065698],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005786091,0.000048395803,0.972673,0.00008542501,0.000082629456,0.000183527,0.010076005,0.00021533125,0.00028134458,0.0007874473,0.003118806,0.012390389],"study_design_scores_gemma":[0.0000044630415,0.000019870133,0.97680366,0.00009746149,0.000042691943,0.000101006495,0.019146994,0.00047401397,0.00012551031,0.00012307863,0.0030319076,0.000029414505],"about_ca_topic_score_codex":0.9983956,"about_ca_topic_score_gemma":0.9992526,"teacher_disagreement_score":0.054523863,"about_ca_system_score_codex":0.054523863,"about_ca_system_score_gemma":0.0735403,"threshold_uncertainty_score":0.39560014},"labels":[],"label_agreement":null}]}