{"id":"W2792504922","doi":"10.1136/bmj.d2381","title":"How can we remove the barriers faced by clinician scientists in plastic surgery?","year":2011,"lang":"en","type":"article","venue":"BMJ","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Hospital Foundation","funders":"","keywords":"Plastic surgery; Medicine; Psychology; Surgery","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":["metaresearch"],"category_scores_codex":[0.3565002,0.002223805,0.004413829,0.006101447,0.02894819,0.04567922,0.01007946,0.09502883,0.02758828],"category_scores_gemma":[0.636583,0.003572124,0.005427234,0.003594414,0.05219669,0.07051264,0.04550171,0.1117952,0.0158617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01112007,"about_ca_system_score_gemma":0.1301336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01378289,"about_ca_topic_score_gemma":0.02227547,"domain_scores_codex":[0.7278689,0.1725213,0.01578143,0.009158052,0.04686761,0.02780269],"domain_scores_gemma":[0.185134,0.5048453,0.03415066,0.03007507,0.1186153,0.1271797],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002161528,0.0005749423,0.003465671,0.002136851,0.0004367869,0.001079155,0.01385843,0.0003783374,0.0004748653,0.04758225,0.8635423,0.06625423],"study_design_scores_gemma":[0.0005367002,0.0004278065,0.003222204,0.004890779,0.0002808882,0.00101904,0.04091948,0.0005106252,0.0005630411,0.1353557,0.8117,0.0005738235],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001471574,0.001324502,0.0004927653,0.99325,0.004207141,0.00001571037,0.000005563134,0.00002021631,0.0005369335],"genre_scores_gemma":[0.008371381,0.004170645,0.0034438,0.972839,0.008617333,0.0002037856,0.00001761929,0.00007108595,0.002265274],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.6434997,"threshold_uncertainty_score":0.7935498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1957609920233105,"score_gpt":0.42370535056655,"score_spread":0.2279443585432394,"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."}}