{"id":"W4237203690","doi":"10.1503/cmaj.091041","title":"Correction","year":2009,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Biotechnology and Related Fields","field":"Medicine","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":[0.004447932,0.001733683,0.00147713,0.003198948,0.003133164,0.005318924,0.003272645,0.01140045,0.1090464],"category_scores_gemma":[0.07634115,0.0009311076,0.002137068,0.001526434,0.002007828,0.00264387,0.001950246,0.01618198,0.07541654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004394337,"about_ca_system_score_gemma":0.005722938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02071848,"about_ca_topic_score_gemma":0.02528398,"domain_scores_codex":[0.994073,0.0007288922,0.0007051163,0.0008829303,0.002758509,0.0008516677],"domain_scores_gemma":[0.9699528,0.007944503,0.001426877,0.002030546,0.01710487,0.001540379],"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":[0.000009236921,0.000001974882,0.00002153293,0.00002159738,0.000003329033,0.00003905748,0.00000845393,0.000005683955,0.000009391038,0.0002587498,0.9978228,0.001798193],"study_design_scores_gemma":[0.00002655936,0.00001012184,0.0004026741,0.0001662799,0.00001367043,0.0001106137,0.0000405313,0.00004626552,0.00006487547,0.0006391217,0.9984618,0.00001740251],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00005330151,0.0006695154,0.0002212175,0.1122989,0.8807014,0.00002995584,0.0008524257,0.0002563335,0.00491712],"genre_scores_gemma":[0.004163146,0.00323857,0.001077394,0.3829571,0.3750362,0.0002347622,0.001889043,0.000612979,0.2307909],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8909536,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003431676746914404,"score_gpt":0.2185375698255181,"score_spread":0.2151058930786037,"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."}}