{"id":"W2906789737","doi":"10.1108/s2059-65612019006","title":"STEM-professional Women’s Range of Anchor Points","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Range (aeronautics); Psychology; Geography; Engineering; Aerospace 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":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001003125,0.0003028599,0.0001855303,0.0009315446,0.002577543,0.005157142,0.0005029069,0.001118862,0.02583527],"category_scores_gemma":[0.001525167,0.0001211992,0.0001547476,0.001442092,0.003412734,0.00351534,0.002869091,0.00184813,0.004567826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001808342,"about_ca_system_score_gemma":0.001582493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002276476,"about_ca_topic_score_gemma":0.008579217,"domain_scores_codex":[0.9995689,0.0001476202,0.0000111297,0.0000571872,0.000139708,0.00007556892],"domain_scores_gemma":[0.9996864,0.0001423504,0.0000115718,0.00002546232,0.00006752587,0.00006673522],"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":[0.00001781092,0.00001467788,0.0002283854,0.00003372294,9.965503e-7,0.00007005224,0.01020669,0.00004171875,0.000255945,0.8734331,0.03291422,0.08278266],"study_design_scores_gemma":[0.000003739697,0.00001279719,0.0007141593,0.000197663,0.000001458339,0.0001042666,0.008062151,0.00006893963,0.0003269764,0.21958,0.7709227,0.000005170004],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004355698,0.001403118,0.001773286,0.003653355,0.0001484159,0.000008503663,0.00004071964,0.00001756451,0.9885994],"genre_scores_gemma":[0.2281714,0.004503491,0.003061699,0.002338686,0.0003289852,0.00006384501,0.000183496,0.0001060507,0.7612424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02583527,"threshold_uncertainty_score":0.08642763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1173459074818275,"score_gpt":0.2979367186717549,"score_spread":0.1805908111899274,"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."}}