{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006677667,0.00009336608,0.0001373031,0.00002124558,0.000120039,0.00004778653,0.0003037509,0.00002309172,0.00001565051],"category_scores_gemma":[0.00006063884,0.00007905313,0.00004136027,0.0002736028,0.00002274409,0.0001802211,0.0002364733,0.00007883665,0.001417834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001237253,"about_ca_system_score_gemma":0.00001341541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002704124,"about_ca_topic_score_gemma":0.00000209235,"domain_scores_codex":[0.9992754,0.00002476331,0.0001101221,0.0002586271,0.0001448567,0.0001862278],"domain_scores_gemma":[0.9996273,0.00002238603,0.00003281422,0.0001842089,0.0000571727,0.00007610409],"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":[0.00004490859,0.0001639324,0.001430919,0.0003094469,0.0009035729,0.000226209,0.05518989,0.000191035,0.01130741,0.04075167,0.2125318,0.6769493],"study_design_scores_gemma":[0.0031723,0.002930005,0.004570321,0.0001396475,0.00007193537,0.00009693948,0.005064494,0.01850655,0.09232762,0.01610013,0.8549444,0.002075635],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09759929,0.01810714,0.5768058,0.1924506,0.004850883,0.00104468,0.000006538056,0.003446058,0.105689],"genre_scores_gemma":[0.9800106,0.0003820505,0.01514435,0.003374353,0.0003139166,0.00001414676,4.885805e-7,0.000009188836,0.0007508993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8824113,"threshold_uncertainty_score":0.9993597,"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."}}