{"id":"W2236753730","doi":"","title":"Defining Moments for Women as Lawyers: Reflections on the Impact of Numerical Gender Equality","year":2005,"lang":"en","type":"article","venue":"","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sociology; Political science; Gender studies","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":[0.01571945,0.000598446,0.0007002238,0.001275253,0.04807639,0.01991487,0.003645457,0.01565726,0.007111961],"category_scores_gemma":[0.02665435,0.0007306043,0.0006788187,0.001244481,0.06201352,0.01651412,0.01277101,0.02158511,0.0008967713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02629148,"about_ca_system_score_gemma":0.02011869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1160957,"about_ca_topic_score_gemma":0.2291441,"domain_scores_codex":[0.9798049,0.01376155,0.0002553641,0.0008533793,0.001991437,0.003333356],"domain_scores_gemma":[0.9779112,0.01618221,0.001212912,0.0003467835,0.001607306,0.002739659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002226818,0.00001951679,0.0003693392,0.00006229693,0.00000308392,0.0006788492,0.7948775,0.00002560145,0.0002083953,0.1626678,0.03720099,0.003864381],"study_design_scores_gemma":[0.000008078381,0.0000166979,0.0003573264,0.0002085957,0.000004006318,0.0001541504,0.7446503,0.00002787723,0.0001635779,0.01084918,0.24354,0.00002010942],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04473296,0.008328891,0.002161096,0.815209,0.005079427,0.00004553611,0.00004172432,0.00004303279,0.1243583],"genre_scores_gemma":[0.7323081,0.004649389,0.0008630725,0.2094991,0.002605184,0.0001264473,0.00002013832,0.0001932525,0.04973549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1160957,"threshold_uncertainty_score":0.23084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2360369209226907,"score_gpt":0.5452415023401602,"score_spread":0.3092045814174695,"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."}}