{"id":"W7071644000","doi":"","title":"“Tell me where it hurts”: workplace sexual harassment compensation and the regulation of hysterical victims","year":2006,"lang":"en","type":"article","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"QR Code Applications and Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Harassment; Punitive damages; Damages; Harm; Equal employment opportunity; Commission; Compensation (psychology); Stalking","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":[0.0001720512,0.00009367096,0.0001707598,0.00006404532,0.0002920135,0.00001724015,0.0006904097,0.0000714365,0.00000497152],"category_scores_gemma":[0.000009410202,0.00006931627,0.00007006992,0.0002871021,0.000811981,0.0002032181,0.0003958486,0.00008371237,0.000003984839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000176861,"about_ca_system_score_gemma":0.0000506143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005854297,"about_ca_topic_score_gemma":0.001377198,"domain_scores_codex":[0.9992372,0.00006321049,0.0002017669,0.0001859429,0.0002217426,0.0000900692],"domain_scores_gemma":[0.9992542,0.00008600145,0.0001374771,0.0003781415,0.0001271457,0.00001698368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001143036,0.0003048098,0.009304172,0.0004937527,0.00007974174,7.99903e-7,0.002189374,0.02207058,0.06364702,0.89488,0.001549489,0.005365935],"study_design_scores_gemma":[0.002726831,0.0001443924,0.4958257,0.0009177968,0.0001472287,0.00003690709,0.0006203547,0.4266815,0.04880117,0.0112135,0.01256353,0.0003210465],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4011386,0.001348924,0.587916,0.001532502,0.00008131925,0.000324115,0.000002861859,0.00004713971,0.007608566],"genre_scores_gemma":[0.9827853,0.00006459334,0.01659855,0.000006686927,0.00001233596,8.675211e-7,0.00000223159,0.000002270963,0.0005271573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8836665,"threshold_uncertainty_score":0.2991778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009634906933493828,"score_gpt":0.1949048989056115,"score_spread":0.1852699919721177,"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."}}