{"id":"W6886026076","doi":"10.14288/1.0368871","title":"Determinants of research engagement in academic obstetrics and gynaecology","year":2018,"lang":"en","type":"article","venue":"Open Collections","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Obstetrics and gynaecology; Logistic regression; Odds ratio; Confidence interval; Reading (process); Scale (ratio); Odds","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01030655,0.0001574861,0.0003404415,0.001943392,0.001021717,0.001679,0.000833189,0.0006392828,0.005673506],"category_scores_gemma":[0.07153426,0.0002118761,0.0003232891,0.003401193,0.001201568,0.0006992379,0.00233344,0.001025365,0.0005242502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001976095,"about_ca_system_score_gemma":0.00722103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005824414,"about_ca_topic_score_gemma":0.009345086,"domain_scores_codex":[0.9863001,0.007423429,0.001314233,0.0004897641,0.002931008,0.001541474],"domain_scores_gemma":[0.8855805,0.04374121,0.03650383,0.001897429,0.005801052,0.02647608],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001396244,0.0001885019,0.9708328,0.0003739805,0.00005454152,0.0001914088,0.003845792,0.0001018567,0.0003133492,0.000212622,0.001345634,0.0223999],"study_design_scores_gemma":[0.00001302414,0.000217467,0.9868585,0.000250475,0.00001432355,0.0003365674,0.00828357,0.0001130156,0.00007737066,0.0002284366,0.003594047,0.00001322286],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876025,0.002230746,0.0002668811,0.005528281,0.00005824542,0.00006781027,0.0002923862,0.00001491825,0.003938286],"genre_scores_gemma":[0.9977574,0.0008850339,0.0003951358,0.0003858575,0.00007978914,0.00003688215,0.0001311104,0.000004554373,0.0003244024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9896935,"threshold_uncertainty_score":0.0545069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3985855541647909,"score_gpt":0.5606464498535598,"score_spread":0.162060895688769,"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."}}