{"id":"W4205601797","doi":"10.1503/cmaj.051374","title":"Query","year":2006,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Nutrition, Health, and Society Studies","field":"Agricultural and Biological 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":[0.0008202893,0.00006112932,0.0001076896,0.00001040619,0.000680079,0.00006655951,0.0001147609,0.0002211234,0.002326553],"category_scores_gemma":[0.0002390897,0.00002597278,0.00008754861,0.0001719334,0.00002256117,0.0000678199,0.000005421015,0.0003496335,0.00009638326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003864245,"about_ca_system_score_gemma":0.0002250817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02102334,"about_ca_topic_score_gemma":0.359284,"domain_scores_codex":[0.9985861,0.00009137191,0.0002255046,0.00008549913,0.0006486738,0.0003628724],"domain_scores_gemma":[0.9989459,0.0001675667,0.00008756813,0.00001254838,0.0002070245,0.0005794221],"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":[0.000001058938,0.00002429769,0.164278,0.000001828999,0.00001384366,0.00003939374,0.00004461183,3.330854e-7,0.00006986075,0.0005442953,0.8126446,0.02233791],"study_design_scores_gemma":[0.00009729281,0.00001928211,0.3275129,0.000009044087,0.00000265296,0.00003127311,0.0002720111,0.000005769943,0.000003455981,0.001104488,0.6708847,0.00005702876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8334121,0.000580728,0.000002863127,0.1550397,0.0006795094,0.00006138804,0.00003671069,0.00002821326,0.0101588],"genre_scores_gemma":[0.97642,0.0006215345,0.00003750773,0.01397888,0.007280502,0.000003971285,0.00002582927,8.078786e-7,0.001630934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3382607,"threshold_uncertainty_score":0.9985855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006644282092935376,"score_gpt":0.1972140053602065,"score_spread":0.1905697232672711,"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."}}