{"id":"W2038478678","doi":"10.1016/s0140-6736(06)69534-2","title":"Finding true north for the Canadian Medical Association Journal","year":2006,"lang":"en","type":"article","venue":"The Lancet","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Population and Public Health; University of Ottawa","funders":"","keywords":"Health care; Population; Public health; Medicine; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01396709,0.0005604198,0.001355511,0.009037482,0.008535521,0.01281052,0.00249782,0.006606045,0.0707525],"category_scores_gemma":[0.1328764,0.0007314428,0.0009366785,0.007882287,0.007375528,0.004560835,0.002560049,0.007578561,0.00779033],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02789704,"about_ca_system_score_gemma":0.08634706,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7954349,"about_ca_topic_score_gemma":0.8722157,"domain_scores_codex":[0.9831553,0.002563759,0.00112787,0.001604401,0.009054356,0.002494352],"domain_scores_gemma":[0.8878337,0.02573916,0.005730667,0.005507104,0.06155954,0.01362978],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009144528,0.00002324169,0.008212329,0.0003199491,0.000128778,0.0001627756,0.0004901605,0.00005711726,0.00005449236,0.01925742,0.9400213,0.03118094],"study_design_scores_gemma":[0.0001351207,0.00002313152,0.0439143,0.001772889,0.000299324,0.0002703884,0.003622888,0.0002865003,0.0001572724,0.03426383,0.9151296,0.000124753],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004055623,0.03500414,0.0006128359,0.8177407,0.03270331,0.00005552598,0.003052667,0.0001166514,0.1066585],"genre_scores_gemma":[0.3217425,0.07399242,0.004177105,0.3908302,0.05239593,0.0001817589,0.004740171,0.0006073983,0.1513324],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9860329,"threshold_uncertainty_score":0.4115396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0723312698040239,"score_gpt":0.280031778184382,"score_spread":0.2077005083803581,"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."}}