{"id":"W2918136568","doi":"10.1007/s11948-019-00097-0","title":"Solutions to Gender Balance in STEM Fields Through Support, Training, Education and Mentoring: Report of the International Women in Medical Physics and Biomedical Engineering Task Group","year":2019,"lang":"en","type":"article","venue":"Science and Engineering Ethics","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Task (project management); Balance (ability); Gender balance; Work (physics); Women in science; Philosophy of science; Medical education; Work–life balance; Working group; Engineering ethics; Medicine; Political science; Engineering; Sociology; Mechanical engineering; Physical therapy; Law; Gender studies; Systems engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"incentives","study_design":"not_applicable","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch"],"domain":"incentives","study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02702875,0.0005465486,0.0004734103,0.001346045,0.009367219,0.006234434,0.001522754,0.004525174,0.007137672],"category_scores_gemma":[0.03219656,0.0002899496,0.0004896531,0.001347827,0.003559678,0.00342831,0.0114308,0.005294748,0.0005907265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004026236,"about_ca_system_score_gemma":0.02994302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01572186,"about_ca_topic_score_gemma":0.04221993,"domain_scores_codex":[0.9886546,0.004204543,0.0004072659,0.0003723323,0.00231963,0.004041496],"domain_scores_gemma":[0.966412,0.01041365,0.003072473,0.0004853864,0.003930563,0.01568589],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003290334,0.00104781,0.1170082,0.0007762954,0.0001101181,0.001120426,0.1423794,0.0003817682,0.002635172,0.04349582,0.2666869,0.424029],"study_design_scores_gemma":[0.0002095768,0.00060596,0.1174928,0.001932989,0.0001027061,0.0008115043,0.3616517,0.0003980346,0.002145515,0.0190949,0.4954141,0.0001401509],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.2402692,0.009384445,0.001188775,0.6993253,0.005122382,0.0002692318,0.0002802944,0.00004655365,0.04411394],"genre_scores_gemma":[0.8755591,0.009235724,0.001710614,0.08785773,0.00239989,0.0004081694,0.0002965997,0.00008663724,0.02244558],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9729713,"threshold_uncertainty_score":0.1429434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05462969082667192,"score_gpt":0.3207164155603712,"score_spread":0.2660867247336993,"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."}}