{"id":"W4250704561","doi":"10.1503/cmaj.1031851","title":"Query","year":2004,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Art, Technology, and Culture","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":[0.0004070433,0.00006709831,0.00009698541,0.00008358675,0.0005630849,0.0001263266,0.0001665295,0.0002259344,0.01387573],"category_scores_gemma":[0.0004061459,0.00005482931,0.00006317636,0.00002253882,0.000078441,0.000129171,0.00000636631,0.0006905494,0.0005389818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005866013,"about_ca_system_score_gemma":0.001064806,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005729456,"about_ca_topic_score_gemma":0.4921213,"domain_scores_codex":[0.9989297,0.00002620336,0.0001821517,0.00007105774,0.0004826383,0.0003082296],"domain_scores_gemma":[0.999045,0.00001678772,0.00008559295,0.00005158536,0.000190648,0.0006104457],"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":[0.000001315856,0.00002358346,0.001318494,0.00000240436,0.00008107982,0.0003078108,0.01039138,0.000003063264,0.000001962309,0.2442853,0.7293931,0.01419046],"study_design_scores_gemma":[0.0002935471,0.00001988715,0.0003803269,0.00001805178,0.000007917329,0.00008517868,0.003740115,0.000001728142,0.000003676883,0.009321445,0.9860526,0.00007555298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.107464,0.0009905685,0.0001055814,0.3732444,0.005189302,0.0001479288,0.00008727646,0.0002087139,0.5125622],"genre_scores_gemma":[0.9505653,0.0001268334,0.00004345844,0.03151842,0.006769156,0.000004089367,0.00001138883,0.00001497844,0.01094631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8431014,"threshold_uncertainty_score":0.9870257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009324703154467068,"score_gpt":0.2003668561315383,"score_spread":0.1910421529770712,"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."}}