{"id":"W2973453625","doi":"10.11575/prism/37073","title":"Gender, International Training and Ethnic Visibility: An Intersectional Approach to Studying Engineers in Canada.","year":2019,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visibility; Ethnic group; Training (meteorology); Intersectionality; Gender studies; Political science; Sociology; Geography; Anthropology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.004007732,0.000987185,0.001254713,0.00634786,0.01839394,0.007863575,0.002763624,0.001085831,0.003734939],"category_scores_gemma":[0.005449334,0.0004167012,0.001371594,0.007327188,0.006488457,0.001969386,0.01134198,0.002230358,0.0002083814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0453514,"about_ca_system_score_gemma":0.08501481,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9703525,"about_ca_topic_score_gemma":0.9841448,"domain_scores_codex":[0.9953197,0.001401573,0.00009896122,0.0003487681,0.001013702,0.001817281],"domain_scores_gemma":[0.9965663,0.0009793364,0.0005003873,0.0001078384,0.000756002,0.001090045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001307094,0.0003414878,0.7518479,0.0001337471,0.0001820759,0.0007519868,0.2004093,0.0006533253,0.0004643732,0.01865087,0.002020545,0.02441367],"study_design_scores_gemma":[0.00001050246,0.0001802152,0.4150198,0.0002880029,0.0001335958,0.0001412032,0.5688326,0.002375412,0.0001414529,0.002259699,0.01054557,0.00007183506],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837655,0.0009244176,0.0008133161,0.001264548,0.00004636712,0.0001516617,0.000356177,0.000009290244,0.0126688],"genre_scores_gemma":[0.9933749,0.0007080363,0.001286103,0.0002843713,0.00001531129,0.0001676661,0.000238854,0.00000896185,0.003915727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9816061,"threshold_uncertainty_score":0.329049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06533994275997952,"score_gpt":0.3069811853512029,"score_spread":0.2416412425912234,"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."}}