{"id":"W4256154208","doi":"10.1503/cmaj.051608","title":"The editorial autonomy of CMAJ","year":2005,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Autonomy; Computer science; Data science; Medicine; World Wide Web; Political science; Law","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04882199,0.001118314,0.002637114,0.003636705,0.009530198,0.01833125,0.002323414,0.01043956,0.06229289],"category_scores_gemma":[0.3006912,0.001212109,0.001148235,0.002570542,0.007103047,0.004823501,0.00509163,0.0146935,0.05787968],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006237634,"about_ca_system_score_gemma":0.03329875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003650127,"about_ca_topic_score_gemma":0.005253867,"domain_scores_codex":[0.922585,0.01777982,0.006471231,0.005997234,0.04230758,0.004859004],"domain_scores_gemma":[0.635552,0.09418545,0.01911882,0.0389003,0.1661042,0.0461393],"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":[0.0001223083,0.00002366384,0.0003810986,0.0002085987,0.00001739288,0.0001915294,0.000419542,0.00002586113,0.00064348,0.007266198,0.9521754,0.03852503],"study_design_scores_gemma":[0.00005987576,0.0000234819,0.001420527,0.0002790602,0.00001950998,0.0003007257,0.0002101547,0.0002324535,0.0006605,0.00580653,0.9909519,0.00003536657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004672756,0.01262015,0.005576686,0.4039105,0.2291792,0.0007220533,0.001191389,0.001820728,0.3403066],"genre_scores_gemma":[0.1060801,0.007816697,0.01056606,0.1957575,0.250021,0.00148483,0.001187582,0.002299169,0.4247871],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9937624,"threshold_uncertainty_score":0.2581985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02568876705075123,"score_gpt":0.3540311908260479,"score_spread":0.3283424237752967,"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."}}