{"id":"W4249155518","doi":"10.22215/timreview770","title":"HarassMap: Using Crowdsourced Data to Map Sexual Harassment in Egypt","year":2014,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Sex work and related issues","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Harassment; Political science; Criminology; Psychology; Social psychology","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":[0.001541392,0.0004964846,0.0002873205,0.005434482,0.000605871,0.001383183,0.0006916012,0.0005459361,0.002239859],"category_scores_gemma":[0.00361831,0.0001304917,0.0004745712,0.00472858,0.0002843452,0.0009774663,0.001789736,0.0003498771,0.0007827381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008732017,"about_ca_system_score_gemma":0.001181926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0573664,"about_ca_topic_score_gemma":0.06383049,"domain_scores_codex":[0.9993185,0.0002237279,0.00006135918,0.0001057806,0.0002017033,0.00008901642],"domain_scores_gemma":[0.9985213,0.0003956499,0.0002815667,0.0001659212,0.0005320676,0.000103576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004644741,0.0002771349,0.2833837,0.004900302,0.0007023014,0.001283717,0.01265647,0.009558032,0.003894492,0.003063188,0.05332357,0.6264926],"study_design_scores_gemma":[0.0001003102,0.0003085941,0.6399036,0.003042655,0.0004897066,0.0006203441,0.08900491,0.04003483,0.005502573,0.006306169,0.2144462,0.0002401505],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8344437,0.01562152,0.03278926,0.004021391,0.0004538121,0.002008585,0.0690773,0.002034212,0.03955023],"genre_scores_gemma":[0.8856469,0.007945033,0.05753023,0.0005248037,0.0001443966,0.001047157,0.0386645,0.0001157437,0.008381186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0573664,"threshold_uncertainty_score":0.114065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09505740857943748,"score_gpt":0.4030595346662372,"score_spread":0.3080021260867997,"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."}}