{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001751104,0.00004999377,0.00009090512,0.00008101208,0.0009767342,0.0001282147,0.0001487448,0.0001889941,0.002816448],"category_scores_gemma":[0.003199782,0.00004681693,0.0000601487,0.0001737945,0.00006630345,0.0001753136,0.000006141068,0.0003709107,0.0004708857],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001105891,"about_ca_system_score_gemma":0.00619163,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04609811,"about_ca_topic_score_gemma":0.624518,"domain_scores_codex":[0.9980507,0.0001203964,0.0001682854,0.00006066836,0.001146823,0.0004530817],"domain_scores_gemma":[0.9979878,0.00008282154,0.00007606568,0.00003544792,0.0001962665,0.001621619],"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":[0.000006008301,0.00007709307,0.2599766,0.000004583583,0.0002128105,0.0009578866,0.07901409,0.00001875104,0.000003056642,0.07309851,0.438806,0.1478246],"study_design_scores_gemma":[0.0003867272,0.00001506432,0.02721442,0.00002262184,0.000005975766,0.00002207584,0.008893369,3.349722e-7,0.000001447203,0.00455356,0.9588025,0.00008196423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3559143,0.0004281364,0.0001236479,0.3239484,0.002013133,0.00008350294,0.000007671786,0.00004148714,0.3174397],"genre_scores_gemma":[0.9776871,0.0002696189,0.00005393368,0.01800397,0.002506598,0.000001229594,6.809814e-7,0.000004657857,0.001472236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6217728,"threshold_uncertainty_score":0.9994423,"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."}}