{"id":"W4403196071","doi":"10.3311/ccc2024-075","title":"Working Women’s Recommendations to Recruit and Retain Women in The Construction Trades: A Qualitative Analysis","year":2024,"lang":"en","type":"article","venue":"","topic":"Public Procurement and Policy","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Kentucky","keywords":"Qualitative analysis; Qualitative research; Computer science; Sociology; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002535665,0.0001167007,0.0001656386,0.001081281,0.0001289104,0.0009521594,0.0001517881,0.00003631879,0.0007483838],"category_scores_gemma":[0.0001603997,0.00008370507,0.00004315639,0.003554432,0.00003491932,0.0007552441,0.0000602075,0.0001326688,0.00005336279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000159916,"about_ca_system_score_gemma":0.00002210515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00034948,"about_ca_topic_score_gemma":0.0005290557,"domain_scores_codex":[0.9989431,0.00006078692,0.0002495818,0.0002459596,0.0001526503,0.0003479189],"domain_scores_gemma":[0.9995853,0.0001888617,0.00004991376,0.0001280497,0.00002854901,0.00001932013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004107517,0.00005896658,0.008265331,0.0001172715,0.0005521553,0.000004943258,0.1967918,0.00001146816,0.00003657264,0.6369203,0.03110526,0.1260949],"study_design_scores_gemma":[0.0002318901,0.00001547717,0.002410903,0.00005646449,0.0001069253,0.000001373206,0.1979257,0.003498602,0.000002028036,0.06303816,0.7324601,0.0002524506],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7777455,0.0001269018,0.001786199,0.09435767,0.0002681944,0.0005742782,0.000004993195,0.0002257571,0.1249104],"genre_scores_gemma":[0.9926087,0.00001733553,0.0003784366,0.004571099,0.0003529885,0.0003568059,0.00002294117,0.00000922095,0.001682509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7013548,"threshold_uncertainty_score":0.9181696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0656077335544608,"score_gpt":0.3461969133114058,"score_spread":0.280589179756945,"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."}}