{"id":"W1545483291","doi":"10.1063/1.1505302","title":"The Canadian Challenge: Attracting and Retaining Women in Physics","year":2002,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of British Columbia; National Research Council Canada","funders":"","keywords":"Computer science; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006069588,0.0001331468,0.00019996,0.0001947015,0.001005643,0.001661386,0.001074134,0.00009083084,0.0001339969],"category_scores_gemma":[0.005171063,0.0000862317,0.00002525731,0.0009798924,0.0004280445,0.001027628,0.0001491297,0.0006517975,0.0001155444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001906785,"about_ca_system_score_gemma":0.0002239621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00430897,"about_ca_topic_score_gemma":0.01469911,"domain_scores_codex":[0.9969119,0.00003299493,0.0003696774,0.0005212329,0.00115574,0.001008407],"domain_scores_gemma":[0.9980696,0.0007270453,0.0001468699,0.0001542002,0.0004240473,0.0004782546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007098872,0.00001418387,0.436664,0.00000673371,0.000004608615,0.000007963607,0.04489113,8.352008e-7,0.0004196435,0.02349159,0.001531228,0.492961],"study_design_scores_gemma":[0.000818827,0.0002729039,0.1993991,0.0001627219,0.000004752141,0.00003567741,0.1095207,0.1582238,0.0002036696,0.360679,0.1698469,0.0008319051],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8341583,0.0002552679,0.00002490048,0.01323027,0.00007520102,0.0001821959,0.000001390119,0.00002262026,0.1520498],"genre_scores_gemma":[0.9966796,0.0003607388,0.000050895,0.0002121182,0.0001151505,0.00002927813,8.562878e-8,0.000006891083,0.002545266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4921291,"threshold_uncertainty_score":0.999375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2171532312543517,"score_gpt":0.3736938461572585,"score_spread":0.1565406149029068,"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."}}