{"id":"W4250458882","doi":"10.1503/cmaj.1041127","title":"Correction","year":2004,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":3,"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":[],"consensus_categories":[],"category_scores_codex":[0.003500567,0.001469986,0.001004846,0.003262659,0.00339747,0.005092698,0.002423133,0.005226952,0.1977208],"category_scores_gemma":[0.06247328,0.0006456532,0.001277813,0.002508315,0.001602284,0.002989241,0.002257637,0.007252821,0.1199397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004919363,"about_ca_system_score_gemma":0.00723364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02384865,"about_ca_topic_score_gemma":0.02261161,"domain_scores_codex":[0.9942617,0.0007756225,0.0006290306,0.0007737906,0.002973655,0.0005861415],"domain_scores_gemma":[0.9631884,0.006607489,0.001471259,0.002954077,0.02469037,0.00108833],"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":[0.00000991647,0.000001595918,0.00004034478,0.00002807562,0.000002449483,0.0000507968,0.00002301509,0.0000114316,0.00001561086,0.001378555,0.9940982,0.004340094],"study_design_scores_gemma":[0.000008053354,0.000003941448,0.000218015,0.00008329604,0.000004654004,0.00009737848,0.00003562467,0.00003472385,0.00006370451,0.0007530385,0.9986884,0.000009175649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000287099,0.001215841,0.001206265,0.1477693,0.8033933,0.00005423871,0.006149206,0.0009287808,0.03899598],"genre_scores_gemma":[0.01417253,0.00415329,0.003000712,0.1144695,0.1603531,0.0001978212,0.008459583,0.002076351,0.6931171],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1977208,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02194654910671986,"score_gpt":0.2480874957105775,"score_spread":0.2261409466038576,"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."}}