{"id":"W412186640","doi":"10.1136/ip.6.2.101","title":"R J SHEPHARD","year":2000,"lang":"en","type":"article","venue":"Injury Prevention","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Poison control; Engineering; Forensic engineering; Materials science; Medical emergency; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002511513,0.00008412667,0.00008011963,0.00006108159,0.00005566992,0.00002791085,0.0001072034,0.00004724475,0.02338511],"category_scores_gemma":[0.00001043978,0.00008874245,0.0000857039,0.0001961305,0.00002257888,0.0002986142,0.00001171115,0.00007612377,0.06253066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005408721,"about_ca_system_score_gemma":0.00001705134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001051359,"about_ca_topic_score_gemma":0.000005246361,"domain_scores_codex":[0.9992014,0.00009447957,0.0001675109,0.0001807312,0.0001819035,0.0001739354],"domain_scores_gemma":[0.9996513,0.000006309212,0.00003765599,0.0002335583,0.0000213832,0.00004975671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002660893,0.000284458,0.001331171,0.00001060631,0.00003766987,0.00000434145,0.00009450354,0.00002573457,0.04844486,0.0008143515,0.07491141,0.8737748],"study_design_scores_gemma":[0.0009337036,0.0003266578,0.05113287,0.00007884277,0.00007673372,0.00001705001,0.00001452216,0.000278645,0.03006833,0.02272005,0.8939261,0.0004264461],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9207084,0.00004875301,0.00007629125,0.00004624762,0.0001058159,0.0001840382,0.00002194868,0.0003123506,0.0784962],"genre_scores_gemma":[0.956336,0.00001277969,0.0005305964,0.00005176909,0.0001281537,0.00002740985,0.00003637613,0.00003685616,0.04284006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8733484,"threshold_uncertainty_score":0.9775077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440328317398259,"score_gpt":0.3114134140461721,"score_spread":0.2970101308721895,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}