{"id":"W2947942677","doi":"10.1177/194277861901200110","title":"It's time to recognize how men's careers benefit from sexually harassing women in academia","year":2019,"lang":"en","type":"article","venue":"Human Geography","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Sexually active; Psychology; Sociology; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004925519,0.0001144111,0.0001771686,0.0002899817,0.0002507301,0.0002022869,0.0002683788,0.0002781056,0.00136324],"category_scores_gemma":[0.00002948659,0.0001211454,0.00006894753,0.0003908849,0.00007549441,0.0001883811,0.00005872389,0.0003134076,0.0003515421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001210887,"about_ca_system_score_gemma":0.00005286604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005462719,"about_ca_topic_score_gemma":0.001003525,"domain_scores_codex":[0.9984173,0.00009747886,0.0001579801,0.0003400084,0.0003950622,0.0005922055],"domain_scores_gemma":[0.9993864,0.00006982397,0.00006622967,0.0001791054,0.00005892269,0.0002395408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002399118,0.00009562221,0.7564435,0.00002279544,0.0001329937,0.000008669285,0.2098429,0.0001201426,0.00834399,0.001653132,0.01291898,0.01039333],"study_design_scores_gemma":[0.0006687821,0.00008415154,0.8751971,0.00005128197,0.0000166425,1.26006e-7,0.04910352,0.00003304657,0.0001524814,0.01464674,0.05960432,0.0004418249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.915189,0.00003474762,0.000002834184,0.003666673,0.0001284451,0.000297173,0.00001727978,0.00004504908,0.08061879],"genre_scores_gemma":[0.989042,0.000008003946,0.0001132886,0.0008200215,0.0001786522,0.00002734471,0.00003000772,0.00001442389,0.009766236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1607393,"threshold_uncertainty_score":0.9995496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02235477084612081,"score_gpt":0.2929815026650137,"score_spread":0.2706267318188929,"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."}}