{"id":"W2899615896","doi":"","title":"CAREER EXPERIENCES OF CANADIAN INFORMATION AND COMMUNICATIONS TECHNOLOGY EXECUTIVES: UNDERSTANDING CAREER ADVANCEMENT BARRIERS AND ENABLERS FOR WOMEN AND MEN","year":2018,"lang":"en","type":"article","venue":"","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Public relations; Career development; Medical education; Psychology; Sociology; Political science; Medicine","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":[0.003885076,0.0004393742,0.0007242641,0.002700741,0.02395372,0.008053927,0.001745634,0.002175592,0.006720774],"category_scores_gemma":[0.008779208,0.0004875652,0.0004610263,0.004095213,0.003719225,0.002824612,0.006345884,0.00391345,0.0004955116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03285995,"about_ca_system_score_gemma":0.08882407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9628866,"about_ca_topic_score_gemma":0.9863456,"domain_scores_codex":[0.9948058,0.0004497029,0.0000918197,0.0002122051,0.000867912,0.003572549],"domain_scores_gemma":[0.9885866,0.001220592,0.0009813759,0.00009618329,0.002642129,0.006473192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002889488,0.0003004281,0.2902258,0.0001105495,0.00002520204,0.0008728931,0.6693509,0.00006223584,0.0003660065,0.003757188,0.01111655,0.02352323],"study_design_scores_gemma":[0.000007040708,0.00004439937,0.1043277,0.0001493523,0.000008577858,0.00008300687,0.8810407,0.00005097924,0.00004139333,0.0001374721,0.01407355,0.0000357511],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807872,0.0007840068,0.00004253279,0.005239976,0.00008747308,0.00003544034,0.0002699054,0.000004644329,0.01274879],"genre_scores_gemma":[0.9901937,0.0009305245,0.00007627114,0.001539534,0.00001884616,0.00002703256,0.0002031315,0.000009601399,0.007001357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03711343,"threshold_uncertainty_score":0.2384167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05808843490105554,"score_gpt":0.304719605665809,"score_spread":0.2466311707647534,"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."}}