{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003752056,0.0002234098,0.0001729181,0.0007846084,0.0117042,0.005494397,0.001753858,0.004021735,0.003256891],"category_scores_gemma":[0.006555237,0.000218834,0.0002414535,0.0004912466,0.02512178,0.001414297,0.002764142,0.003444595,0.0003701498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0157031,"about_ca_system_score_gemma":0.01714763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2903587,"about_ca_topic_score_gemma":0.3923497,"domain_scores_codex":[0.9959319,0.002083082,0.00007215203,0.0001918245,0.000719019,0.00100199],"domain_scores_gemma":[0.9964657,0.001354022,0.0006195571,0.0001663747,0.0009774821,0.0004168333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008533894,0.0002225986,0.02478219,0.0002196825,0.00002281802,0.003296007,0.5110022,0.0004193064,0.003347368,0.3650488,0.03664176,0.05491193],"study_design_scores_gemma":[0.00002777761,0.0001278504,0.03768324,0.0007465984,0.00003944072,0.001413903,0.5811533,0.0006833528,0.002687183,0.02146384,0.3538741,0.00009935559],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4463946,0.007520292,0.00655047,0.2031443,0.001062431,0.000205099,0.00005379813,0.00006588983,0.3350033],"genre_scores_gemma":[0.9647627,0.001156643,0.0003703775,0.01167121,0.0001245551,0.00005004902,0.000009664712,0.00001245686,0.02184235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2903587,"threshold_uncertainty_score":0.5773373,"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."}}