{"id":"W4311527782","doi":"10.25071/1913-9632.39657","title":"Remembering the Movement & Reminiscing on Achievements: An Interview with Professor Emeritus Raphael Cassimere, Jr.","year":2022,"lang":"en","type":"article","venue":"Left History An Interdisciplinary Journal of Historical Inquiry and Debate","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Champion; Civil rights; Law; Civil liberties; State (computer science); Presidential system; Economic Justice; Political science; Diplomacy; Sociology; Politics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007209283,0.0008122564,0.0009107261,0.001110442,0.02151586,0.007467627,0.002257366,0.00502014,0.004003163],"category_scores_gemma":[0.01294036,0.0007543162,0.0005718548,0.001616003,0.009939341,0.01002035,0.005272531,0.02023726,0.001784498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006655678,"about_ca_system_score_gemma":0.005623536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02617072,"about_ca_topic_score_gemma":0.03856526,"domain_scores_codex":[0.9935174,0.004108522,0.0001138204,0.0004621405,0.0008943045,0.0009038192],"domain_scores_gemma":[0.9936791,0.00278119,0.0004534699,0.0001338106,0.0007135865,0.00223887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002085867,0.00009831222,0.001135063,0.0001207957,0.000007496999,0.001228067,0.6436073,0.00005551373,0.0003080362,0.0114633,0.3305339,0.01142152],"study_design_scores_gemma":[0.000005373491,0.00003676691,0.001064702,0.0002245098,0.000003992059,0.0005518541,0.591266,0.00005444846,0.0001240428,0.0005944527,0.4060383,0.00003554231],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1073678,0.02227746,0.0008501058,0.7852656,0.01257991,0.0001150789,0.0001617873,0.0001497355,0.07123258],"genre_scores_gemma":[0.5728714,0.03097768,0.001383646,0.2663845,0.005676919,0.0004977138,0.0001704533,0.0003187367,0.1217189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02617072,"threshold_uncertainty_score":0.05203682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08727782394055869,"score_gpt":0.3585367010214761,"score_spread":0.2712588770809173,"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."}}