{"id":"W2907100501","doi":"10.1093/jahist/jax546","title":"From #BlackLivesMatter to Black Liberation","year":2018,"lang":"en","type":"article","venue":"Journal of American History","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Black Power; Solidarity; Police brutality; State (computer science); Political science; Scholarship; Sociology; Civil rights; Gender studies; Law; Criminology; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004996505,0.000109442,0.0003001929,0.000119964,0.0002537164,0.00002257162,0.0003326006,0.00004242026,0.001368315],"category_scores_gemma":[0.0001626379,0.0001087518,0.000175985,0.0002487275,0.002957608,0.0002727257,0.00001895275,0.0001942918,0.0004173768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001839,"about_ca_system_score_gemma":0.0006470817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00276796,"about_ca_topic_score_gemma":0.0003316446,"domain_scores_codex":[0.9984694,0.0002481871,0.0003476773,0.0001653828,0.0005251379,0.0002442822],"domain_scores_gemma":[0.9983995,0.0001069402,0.0006377328,0.0001742005,0.000362928,0.0003187115],"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":[0.00004542472,0.00004776948,0.0008040168,0.000001045951,0.00003143328,0.000006549958,0.1557955,0.000003654199,0.002087702,0.00007449487,0.8333093,0.007793101],"study_design_scores_gemma":[0.0001231588,0.0003464787,0.003572596,0.0000161583,0.00002597032,0.000001171814,0.02176369,0.000003934396,0.00004735537,0.00005587723,0.9739051,0.0001385103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8588847,0.0004658815,0.003307161,0.006826333,0.003452767,0.0001340019,0.000005724,0.00005032709,0.1268731],"genre_scores_gemma":[0.9447054,0.0001521297,0.01340591,0.01370168,0.009542259,0.000002400195,0.000001067905,0.00003410093,0.01845503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1405958,"threshold_uncertainty_score":0.9997558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01539099814119721,"score_gpt":0.2821903990275855,"score_spread":0.2667994008863883,"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."}}