{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007015078,0.00005553646,0.00008803603,0.0001236456,0.000435063,0.0002063521,0.0001199736,0.00008189441,0.03983563],"category_scores_gemma":[0.0002879969,0.00004756409,0.00006773358,0.00002857983,0.0000418874,0.0001415705,0.000004838104,0.0004347793,0.000345611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002794564,"about_ca_system_score_gemma":0.0008213212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002279201,"about_ca_topic_score_gemma":0.4664575,"domain_scores_codex":[0.9989619,0.00005291122,0.0001991823,0.00005861178,0.0004878695,0.0002394948],"domain_scores_gemma":[0.9989358,0.00006590912,0.00008249503,0.00003946363,0.000189736,0.0006866182],"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":[0.000001428458,0.00001528811,0.002612204,9.936233e-7,0.00005372487,0.00004106887,0.01044149,0.000001176726,8.509156e-7,0.159952,0.745048,0.08183174],"study_design_scores_gemma":[0.0001799003,0.0000106254,0.0006389057,0.000009371812,0.000003651619,0.00002449505,0.001569617,0.00008831809,9.71412e-7,0.001158408,0.9962507,0.00006497444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.230828,0.000664163,0.00002408228,0.346326,0.003229714,0.0000828956,0.00004224623,0.00003889734,0.418764],"genre_scores_gemma":[0.9578626,0.00008251595,0.00002661813,0.01927464,0.009531885,0.000001760797,0.000002972982,0.000008101892,0.01320891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7270346,"threshold_uncertainty_score":0.9610421,"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."}}