{"id":"W4249033399","doi":"10.1503/cmaj.050975","title":"Correction","year":2005,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Menopause: Health Impacts and Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Canadian Centre for Policy Alternatives","funders":"","keywords":"Computer science; Information retrieval; World Wide Web; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005574589,0.00145555,0.001201441,0.005292332,0.002638524,0.004646089,0.002734325,0.003783776,0.267829],"category_scores_gemma":[0.1096592,0.000794577,0.001661868,0.004957268,0.001205816,0.00348454,0.002350459,0.007534322,0.1364551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004761683,"about_ca_system_score_gemma":0.007986699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03859713,"about_ca_topic_score_gemma":0.03679667,"domain_scores_codex":[0.9929507,0.001126045,0.000964737,0.0009116533,0.003325145,0.0007218315],"domain_scores_gemma":[0.9413115,0.01561053,0.002330011,0.004686391,0.034737,0.00132454],"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":[0.00001192643,0.000002140716,0.00004285334,0.00004285171,0.000003139835,0.00001820932,0.00001530093,0.000009875301,0.000007770034,0.0006326901,0.9954071,0.003806266],"study_design_scores_gemma":[0.00001807877,0.00000656521,0.0005822948,0.00022639,0.00001020983,0.00005487466,0.00006375402,0.00004170441,0.00006965983,0.0008944353,0.9980177,0.00001447045],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001822968,0.0009946049,0.00119618,0.0878268,0.8746213,0.00008657291,0.01442772,0.0009593772,0.01970509],"genre_scores_gemma":[0.01049251,0.005511977,0.006461615,0.1717227,0.2297068,0.0006891936,0.0279166,0.004720351,0.5427783],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.267829,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488104065098336,"score_gpt":0.2958720968458891,"score_spread":0.2809910561949057,"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."}}