{"id":"W4234107818","doi":"10.1503/cmaj.1040331","title":"Query","year":2004,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; World Wide Web; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001134643,0.001105806,0.001243519,0.003209946,0.00142073,0.00430654,0.001666562,0.002849679,0.4512691],"category_scores_gemma":[0.0194344,0.0003953071,0.0010092,0.002595992,0.0004690422,0.005611359,0.002872736,0.001184176,0.3248895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00179837,"about_ca_system_score_gemma":0.00222451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01701304,"about_ca_topic_score_gemma":0.01593645,"domain_scores_codex":[0.9983108,0.0002728872,0.00020858,0.0003763243,0.0005779346,0.0002534846],"domain_scores_gemma":[0.9955195,0.001346011,0.0002279945,0.0005643076,0.001961904,0.000380216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001368887,0.00001824523,0.0006744637,0.0003809588,0.00001103744,0.00008670054,0.00005873667,0.00007947125,0.0002331761,0.001691369,0.9808021,0.01582689],"study_design_scores_gemma":[0.00009308666,0.00003376298,0.001506407,0.0002877931,0.00002173662,0.0003124181,0.0003003931,0.0005607574,0.000541669,0.005084934,0.9912183,0.00003876982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003351025,0.004432787,0.007671966,0.02751353,0.002333387,0.001313176,0.7179571,0.01316224,0.2222648],"genre_scores_gemma":[0.03904997,0.005787319,0.010234,0.01917967,0.002055034,0.001215096,0.7565268,0.004072916,0.1618791],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.548731,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258890444662554,"score_gpt":0.2793943766386366,"score_spread":0.2668054721920111,"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."}}