{"id":"W4229701490","doi":"10.1503/cmaj.051317","title":"Query","year":2006,"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","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":[0.00153423,0.001167116,0.001303287,0.0046092,0.001626409,0.005069845,0.001990684,0.00347773,0.6121857],"category_scores_gemma":[0.02974709,0.0004339555,0.0009863592,0.003678065,0.0005470419,0.005462382,0.003253392,0.001374473,0.5189881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002167912,"about_ca_system_score_gemma":0.00293599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01837737,"about_ca_topic_score_gemma":0.01664317,"domain_scores_codex":[0.997985,0.000409355,0.0002610461,0.000389951,0.0006931703,0.0002615632],"domain_scores_gemma":[0.9915377,0.002360552,0.0003830127,0.001033131,0.004039747,0.0006459689],"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":[0.00006040507,0.00001314214,0.0004259371,0.0002701976,0.000006214529,0.00005898999,0.0000473096,0.00003941685,0.0001107574,0.001041075,0.9839109,0.01401581],"study_design_scores_gemma":[0.00005110258,0.00001689253,0.001031079,0.0002557113,0.00001052172,0.0002007396,0.0002011332,0.0002502542,0.0002499875,0.002843229,0.9948636,0.00002578657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001640451,0.002848626,0.005106364,0.03171175,0.002359275,0.0009837402,0.6979284,0.01366425,0.243757],"genre_scores_gemma":[0.02187272,0.004718097,0.008157052,0.02432574,0.00238562,0.001297954,0.7235121,0.005145648,0.2085851],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3878143,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00893242740214517,"score_gpt":0.2623707243130494,"score_spread":0.2534382969109042,"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."}}