{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007051652,0.0000659759,0.0001892451,0.0001011071,0.0002896369,0.00003359501,0.0001637641,0.0003398128,0.001978707],"category_scores_gemma":[0.1045198,0.00004140892,0.0000880381,0.0001771898,0.00008161425,0.00006871494,0.00000969903,0.001465888,0.0001634382],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002385487,"about_ca_system_score_gemma":0.08644989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001432139,"about_ca_topic_score_gemma":0.009356584,"domain_scores_codex":[0.9954893,0.0001449635,0.000470295,0.00007296103,0.002910174,0.0009123229],"domain_scores_gemma":[0.9832647,0.0006752611,0.0001533711,0.0001020995,0.0007165859,0.01508802],"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":[0.0000196166,0.00001761971,0.004042433,0.00000596459,0.00003349805,0.00003516793,0.00009429789,2.116088e-7,0.000005953945,0.0001227608,0.8003834,0.195239],"study_design_scores_gemma":[0.001138782,0.0001246944,0.005607783,0.000058027,0.00001081885,0.0001119522,0.00008666427,0.0000907307,0.0000245776,0.0000421985,0.9926683,0.00003541255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02855195,0.0006003758,0.00006377555,0.929767,0.01797828,0.0002664392,0.0000123838,0.00001600892,0.02274381],"genre_scores_gemma":[0.5306289,0.001459727,0.0003669194,0.09286641,0.3681984,0.00001488474,0.00001057982,0.00003229544,0.006421854],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8369006,"threshold_uncertainty_score":0.9989336,"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."}}