{"id":"W2738021094","doi":"","title":"No More Softly, Softly: Women in the Construction Workforce","year":2017,"lang":"en","type":"book-chapter","venue":"Routledge eBooks","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Diversity (politics); Political science; Public relations; Compliance (psychology); Engineering; Economic growth; Business; Public administration; Economics; Law; Psychology; Social psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.001560196,0.0005393043,0.0003715576,0.0008332097,0.006953857,0.007972204,0.0007076943,0.002271631,0.0136392],"category_scores_gemma":[0.001450621,0.000287097,0.0001902063,0.001919353,0.007916308,0.005131231,0.003753561,0.00320547,0.003063124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004007441,"about_ca_system_score_gemma":0.004695555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0110139,"about_ca_topic_score_gemma":0.02919306,"domain_scores_codex":[0.998786,0.0005689979,0.00002689855,0.00008886571,0.0002791857,0.0002499832],"domain_scores_gemma":[0.999451,0.0003385475,0.00003592612,0.00001358492,0.00004862459,0.000112311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003860874,0.00005807633,0.001311332,0.0006637743,0.000004352378,0.0005703402,0.2770749,0.00007802097,0.0004195638,0.3209991,0.2513413,0.1474405],"study_design_scores_gemma":[0.000002169679,0.00001586978,0.0007474116,0.0007167594,0.000001718798,0.0001846182,0.05595298,0.00001393065,0.00006440658,0.008987837,0.9333056,0.000006560436],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0262596,0.2455753,0.001186845,0.1436049,0.008431782,0.00006051302,0.0000665767,0.00005197262,0.5747625],"genre_scores_gemma":[0.2147687,0.1531324,0.000796822,0.03326773,0.004256016,0.000151615,0.00007010729,0.0001780498,0.5933786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0136392,"threshold_uncertainty_score":0.04562759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1033127435787496,"score_gpt":0.2976387014193996,"score_spread":0.19432595784065,"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."}}