{"id":"W4255940032","doi":"10.1503/cmaj.061444","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; 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":[0.001856462,0.001226791,0.001514587,0.004342945,0.001632661,0.005377641,0.002294636,0.004407392,0.6236485],"category_scores_gemma":[0.03202432,0.0004599596,0.001280096,0.003672713,0.0006556385,0.005564363,0.003000168,0.001380896,0.4028812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002970125,"about_ca_system_score_gemma":0.003638467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02094261,"about_ca_topic_score_gemma":0.01983915,"domain_scores_codex":[0.9976733,0.0004801599,0.0003507164,0.0004095192,0.0008015111,0.0002847222],"domain_scores_gemma":[0.9910091,0.003196166,0.0004808419,0.0009563886,0.003761774,0.0005959206],"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":[0.00008429206,0.00001383054,0.0003192689,0.0005458962,0.000008608011,0.00005499738,0.00004531168,0.00004945912,0.0001266467,0.001402124,0.9870393,0.01031032],"study_design_scores_gemma":[0.0001156628,0.00002413798,0.0007904904,0.0004418984,0.00001699982,0.0001636058,0.000203177,0.0002231872,0.0002513758,0.003716292,0.9940227,0.00003048642],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001424664,0.003770669,0.003921306,0.03159758,0.002371853,0.001620869,0.7029975,0.007045316,0.2452502],"genre_scores_gemma":[0.02580041,0.006126737,0.007895364,0.03542517,0.002858988,0.002414563,0.7138993,0.00415715,0.2014223],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3763515,"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."}}