{"id":"W2413848116","doi":"","title":"Medical journal covers--an analysis of gendered images and how these might influence best practice.","year":2011,"lang":"en","type":"article","venue":"PubMed","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Best practice; Medical practice; Publishing; Promotion (chess); Content analysis; Psychology; Public relations; Sociology; Medical education; Medicine; Social science; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.004483817,0.0001619758,0.0002125945,0.002158915,0.001831611,0.004489081,0.0004273205,0.0007122149,0.006121574],"category_scores_gemma":[0.03463841,0.0001633849,0.0002209813,0.002124202,0.003342893,0.003365632,0.002315613,0.0006287001,0.0002682316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003149735,"about_ca_system_score_gemma":0.001877846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002208225,"about_ca_topic_score_gemma":0.003581996,"domain_scores_codex":[0.9945469,0.00395695,0.0001615724,0.0002118463,0.0008262009,0.0002964991],"domain_scores_gemma":[0.9581816,0.03430053,0.00443691,0.0004860736,0.001486441,0.001108509],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004104862,0.00008820037,0.09271485,0.000727154,0.00004438361,0.001243945,0.8046499,0.00007143106,0.001328419,0.02668152,0.003914721,0.06812499],"study_design_scores_gemma":[0.00002165423,0.000137741,0.1480408,0.0009540607,0.00005314106,0.00104961,0.7864205,0.0002655297,0.0006449821,0.006079823,0.05629931,0.00003286658],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9391392,0.003094879,0.000872533,0.005789329,0.0001451892,0.00006066846,0.0002080485,0.00001174894,0.05067831],"genre_scores_gemma":[0.9967169,0.0007919997,0.0003524903,0.0002695265,0.00005190701,0.00002997165,0.00003056629,0.00001175775,0.001744818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9955162,"threshold_uncertainty_score":0.02371299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0941012758340038,"score_gpt":0.3305239760445509,"score_spread":0.2364227002105471,"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."}}