{"id":"W1801673346","doi":"10.4000/champpenal.9162","title":"Blind Spots of Abolitionist Thought in Academia","year":2015,"lang":"en","type":"article","venue":"Champ pénal","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"Blind spot; Spots; Political science; Computer science; Artificial intelligence; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.000799996,0.00006077919,0.0001467111,0.00003665363,0.0001488956,0.00001290613,0.0001707453,0.0002224735,0.0001049543],"category_scores_gemma":[0.0001400671,0.00006246176,0.00005778694,0.0003197719,0.0007595574,0.0001149177,0.00001710816,0.000332248,0.00004463848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001782178,"about_ca_system_score_gemma":0.0004342529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001126076,"about_ca_topic_score_gemma":0.0003136783,"domain_scores_codex":[0.9990293,0.0001145222,0.0001625973,0.0001352345,0.0003393745,0.0002190052],"domain_scores_gemma":[0.9995528,0.00004210597,0.0000934728,0.00009175655,0.00007079821,0.000149011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001995385,0.0004478632,0.07798849,0.00004578277,0.00003865495,0.00002552599,0.5553129,0.0000575161,0.001085713,0.1199055,0.2261823,0.01871022],"study_design_scores_gemma":[0.0006740894,0.00002487054,0.01385907,0.00002044223,0.000003473016,7.769866e-7,0.05266353,0.00001234061,0.0001510743,0.002634422,0.9298146,0.0001413172],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7349789,0.0008356821,0.00005835371,0.001991354,0.0004792484,0.0001270641,0.00001203385,0.00003574869,0.2614816],"genre_scores_gemma":[0.9921864,0.0001146915,0.0003650286,0.0003344379,0.0005979332,0.000006455606,0.000003707787,0.000006403004,0.006384966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7036323,"threshold_uncertainty_score":0.2798621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05729402209210088,"score_gpt":0.348849398282719,"score_spread":0.2915553761906181,"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."}}