{"id":"W7096345757","doi":"","title":"ACCESS AND MERIT: A DEBATE ON ENCOURAGING WOMEN IN SCIENCE & ENGINEERING","year":2008,"lang":"en","type":"article","venue":"","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Women in science; Work (physics); Government (linguistics); Science and engineering","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":[0.0006460666,0.00005450083,0.00007425678,0.0001871604,0.0004424585,0.0001063927,0.0002451569,0.00002099616,0.0001561233],"category_scores_gemma":[0.0001777262,0.00005370671,0.000009264163,0.0005967612,0.0002163821,0.0005375561,0.00013393,0.00005736741,0.00002588812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002461937,"about_ca_system_score_gemma":0.0001900768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002024194,"about_ca_topic_score_gemma":0.00225804,"domain_scores_codex":[0.9990761,0.00001121915,0.00006290853,0.0001683585,0.0003236474,0.0003578267],"domain_scores_gemma":[0.9997044,0.00004735932,0.00001372985,0.00006142549,0.00003235788,0.0001407414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000164303,0.00003772778,0.7986169,0.000009472698,0.000005634605,0.00002913938,0.1923548,0.000108717,0.0008935978,0.003934883,0.0008913519,0.003101378],"study_design_scores_gemma":[0.00068898,0.00001294281,0.909855,0.00004851668,0.000002765843,0.000006863426,0.007818862,0.0001452904,0.0005828745,0.0007577243,0.07949529,0.0005848604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550543,0.000008041374,0.0000761098,0.0002595473,0.0001100841,0.00005890977,3.313438e-7,0.00004728342,0.04438541],"genre_scores_gemma":[0.9973899,0.00006426263,0.0005098743,0.0001164882,0.00002295123,0.000003161842,2.840048e-7,0.000001981109,0.001891149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1845359,"threshold_uncertainty_score":0.3403078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05476487137634381,"score_gpt":0.2974467476471557,"score_spread":0.2426818762708119,"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."}}