{"id":"W4251423039","doi":"10.1503/cmaj.110-2035","title":"Correction","year":2010,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":2,"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":[0.004088448,0.001773976,0.001144849,0.003549133,0.002831772,0.004168712,0.00273504,0.003998853,0.2772197],"category_scores_gemma":[0.07952785,0.0007283318,0.001603694,0.002399068,0.001728662,0.002553573,0.002484766,0.006984677,0.1540266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003907378,"about_ca_system_score_gemma":0.005464478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01211916,"about_ca_topic_score_gemma":0.01226044,"domain_scores_codex":[0.9929211,0.001026781,0.0007838798,0.001073839,0.003530203,0.0006641652],"domain_scores_gemma":[0.9602954,0.008520164,0.001956647,0.0033076,0.02453099,0.001389221],"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":[0.00001167522,0.00000152599,0.00003945248,0.00003706118,0.000003322667,0.00005133423,0.00001656627,0.00001037126,0.00001558735,0.0007125363,0.993946,0.005154547],"study_design_scores_gemma":[0.00001631138,0.000008657656,0.0003842222,0.0001572857,0.000009488873,0.0003142106,0.00004817248,0.0000638399,0.0001181002,0.0009608827,0.9979031,0.00001562943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0003129249,0.001376868,0.002107534,0.09434976,0.8700135,0.00008238213,0.006167407,0.001982249,0.02360744],"genre_scores_gemma":[0.01763767,0.00472446,0.006294185,0.1022667,0.2068537,0.0004048434,0.01226531,0.004712809,0.6448403],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7227803,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03049867042158987,"score_gpt":0.3647171840867713,"score_spread":0.3342185136651815,"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."}}