{"id":"W4251141428","doi":"10.1503/cmaj.1040814","title":"Query","year":2005,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Comics and Graphic Narratives","field":"Arts and Humanities","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":[0.001033929,0.001304906,0.001091667,0.002502599,0.001833232,0.005532123,0.00205311,0.003894721,0.7793634],"category_scores_gemma":[0.01268157,0.0004765788,0.0008515895,0.002219704,0.0006080632,0.006978574,0.004798536,0.001307605,0.6437594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002397178,"about_ca_system_score_gemma":0.001553272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02343548,"about_ca_topic_score_gemma":0.02459121,"domain_scores_codex":[0.9990527,0.0001623964,0.00008476002,0.000168275,0.0003541128,0.0001777671],"domain_scores_gemma":[0.9971722,0.0007334008,0.000118203,0.0004211984,0.001181222,0.0003738302],"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":[0.0000483344,0.000007948499,0.0002001152,0.0001910329,0.000003225007,0.00005711987,0.00009563662,0.00002883563,0.0001148665,0.001474398,0.9893754,0.008403103],"study_design_scores_gemma":[0.00003292388,0.000009536462,0.0003317102,0.0001168489,0.000003272568,0.0000810226,0.0003356623,0.0001412015,0.0001584792,0.002087888,0.9966835,0.00001797428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001854559,0.001890414,0.007900777,0.01996676,0.003416459,0.001142612,0.3616651,0.03328911,0.5688742],"genre_scores_gemma":[0.02859401,0.002993881,0.01154423,0.02159862,0.002177906,0.001289026,0.3538757,0.02009333,0.5578333],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2206366,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009246428783238772,"score_gpt":0.2009758149521236,"score_spread":0.1917293861688849,"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."}}