{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002539883,0.0001409445,0.000286094,0.0008681495,0.0002089937,0.00004237029,0.0009649373,0.000160971,0.0002214509],"category_scores_gemma":[0.0002860101,0.0001367167,0.00001283979,0.004960914,0.0001185946,0.0001541453,0.0004660067,0.0002183485,0.0003467001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001458364,"about_ca_system_score_gemma":0.00003052126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008145737,"about_ca_topic_score_gemma":0.00005965531,"domain_scores_codex":[0.9982246,0.0001358893,0.0005434263,0.0004560856,0.0002937015,0.0003463619],"domain_scores_gemma":[0.9988151,0.00002558736,0.0001817876,0.0008375379,0.0001118029,0.0000282186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004518705,0.0001235835,0.006871521,0.0009223076,0.00009191623,0.00001403786,0.000548284,0.00004618959,0.0002798287,0.4434517,0.05774195,0.4899042],"study_design_scores_gemma":[0.0001917967,0.00002154129,0.0004311963,0.001284737,0.0000459515,5.395522e-7,0.00120461,0.0002061506,0.00002184613,0.002309205,0.9940916,0.0001908449],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4204032,0.04117752,0.05125489,0.4041191,0.002113306,0.01012078,0.000008745331,0.002746173,0.06805629],"genre_scores_gemma":[0.7882081,0.04030048,0.1069652,0.03679748,0.000726371,0.0005647743,0.0005363965,0.00014325,0.02575796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9363496,"threshold_uncertainty_score":0.5575145,"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."}}