{"id":"W3088002500","doi":"10.3167/ghs.2020.130210","title":"Chalk Back","year":2020,"lang":"en","type":"article","venue":"Girlhood Studies","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Popularity; Empowerment; Harassment; Power (physics); Work (physics); Sociology; Media studies; History; Gender studies; Political science; Engineering; Law","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":[0.001180368,0.0006698431,0.0003587144,0.00169699,0.009883018,0.007833365,0.0008583546,0.00199193,0.1630042],"category_scores_gemma":[0.005532462,0.0003726634,0.0003128716,0.001296243,0.003203796,0.003636635,0.004896337,0.00259386,0.05084749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003234951,"about_ca_system_score_gemma":0.004141291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03713198,"about_ca_topic_score_gemma":0.09680825,"domain_scores_codex":[0.9981261,0.0002956816,0.00004498674,0.0002623101,0.0006639121,0.0006070202],"domain_scores_gemma":[0.9962081,0.0005463258,0.0002199301,0.0004978267,0.001167283,0.00136052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002051328,0.00009873345,0.009819811,0.0004017059,0.00001603427,0.001431457,0.07093564,0.0000764054,0.002407016,0.04113995,0.7174284,0.1560397],"study_design_scores_gemma":[0.000003346516,0.00002508851,0.003832476,0.0001309136,0.000003772395,0.0002533236,0.02215506,0.00002837846,0.0003650346,0.0007727139,0.9724118,0.00001827187],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04804455,0.0009035769,0.001349888,0.008619468,0.002513381,0.0001988036,0.001435179,0.0006460462,0.9362892],"genre_scores_gemma":[0.112973,0.0005927093,0.0006864176,0.003822867,0.000298279,0.00009812342,0.0008123712,0.0004904737,0.8802257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1630042,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07593645691182632,"score_gpt":0.2729501671032104,"score_spread":0.197013710191384,"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."}}