{"id":"W2766729121","doi":"10.3897/rio.3.e21702","title":"Case Study: HarassMap","year":2017,"lang":"en","type":"article","venue":"Research Ideas and Outcomes","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Computer science; Business","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006938905,0.00006904296,0.0001660578,0.00007397193,0.008397151,0.001913329,0.0003853027,0.00009656679,0.00006733245],"category_scores_gemma":[0.007619071,0.00005528587,0.00004630196,0.00006175438,0.0009914231,0.0005140798,0.0002536612,0.0004236409,0.00003060104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005030775,"about_ca_system_score_gemma":0.0002776029,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1259738,"about_ca_topic_score_gemma":0.05968841,"domain_scores_codex":[0.997935,0.0004525994,0.0001101924,0.0001911627,0.0008110804,0.0004999512],"domain_scores_gemma":[0.9981487,0.0006801644,0.00004690566,0.0003704231,0.0003989214,0.0003548439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005164669,0.0001086576,0.8370962,0.000008121552,0.00004228506,0.002577772,0.03110679,3.711963e-8,0.000003370719,0.1145056,0.001783675,0.01276235],"study_design_scores_gemma":[0.0009267085,0.0002314964,0.6875075,0.00001959513,0.00001669275,0.00002694978,0.1543368,0.000007340344,0.000004554744,0.1085422,0.04811479,0.0002654241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9116503,0.00008203257,8.736375e-7,0.02944107,0.0001455972,0.000307588,0.000002643852,0.00002278117,0.05834711],"genre_scores_gemma":[0.9903607,0.0002367079,0.00002760806,0.0001426818,0.000209124,0.000009856304,1.400184e-7,0.00000757171,0.009005659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1495887,"threshold_uncertainty_score":0.9991228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4108701134691561,"score_gpt":0.6066070975917276,"score_spread":0.1957369841225715,"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."}}