{"id":"W4738981","doi":"10.1021/jm00261a026","title":"A woman's perspective on surviving and succeeding in politics","year":2007,"lang":"en","type":"article","venue":"Canadian parliamentary review","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Politics; Political science; Computer science; Law; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01397932,0.0005714472,0.001088593,0.007516687,0.009539001,0.0091166,0.002105793,0.004135639,0.004823633],"category_scores_gemma":[0.01526548,0.0003141542,0.0004134921,0.01185025,0.01070022,0.002928543,0.001865902,0.004686092,0.0004837121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0636242,"about_ca_system_score_gemma":0.1396093,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9121548,"about_ca_topic_score_gemma":0.961666,"domain_scores_codex":[0.9886317,0.003580021,0.0004951636,0.0005284229,0.004457965,0.002306807],"domain_scores_gemma":[0.9886587,0.004091038,0.0005706623,0.0002130801,0.005156136,0.001310413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001273634,0.00002425248,0.002033219,0.004042129,0.00009226487,0.0003717783,0.02149929,0.0003425402,0.0005377214,0.3992796,0.4273397,0.1443102],"study_design_scores_gemma":[0.000008098528,0.0000158692,0.004016584,0.001773388,0.00005095755,0.00008081365,0.008486708,0.00002435331,0.0001028316,0.005725882,0.9796947,0.00001985463],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.006771704,0.6314356,0.0003996988,0.205483,0.006991731,0.00003944366,0.0003697424,0.00002044028,0.1484887],"genre_scores_gemma":[0.3133105,0.539084,0.0009347615,0.08914644,0.003801823,0.0001167248,0.0003731382,0.00005631954,0.05317644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08784521,"threshold_uncertainty_score":0.4616281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04168883310876494,"score_gpt":0.3558754469484913,"score_spread":0.3141866138397263,"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."}}