{"id":"W167422231","doi":"","title":"Biko Agozino and Justice for All","year":2014,"lang":"en","type":"article","venue":"Digital Scholarship - Texas Southern University (Texas Southern University)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Virginia tech; Sociology; Snapshot (computer storage); Social justice; Economic Justice; Media studies; Public relations; Management; Library science; Engineering ethics; Social science; Law; Political science; Engineering; Computer science; Economics","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005867049,0.0002910259,0.0003297908,0.001362793,0.002058187,0.000857449,0.0009426912,0.0003732076,0.0002707647],"category_scores_gemma":[0.0003272458,0.0004252685,0.0002816262,0.0007593629,0.001032576,0.001441947,0.0002245772,0.0003952044,0.0008733415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001153362,"about_ca_system_score_gemma":0.0004167636,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02632711,"about_ca_topic_score_gemma":0.1335442,"domain_scores_codex":[0.9976438,0.0002883916,0.0001752111,0.0006772271,0.0004431795,0.0007722261],"domain_scores_gemma":[0.998091,0.0002703124,0.0002121728,0.0003727574,0.0002651087,0.0007886105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002163074,0.0009606546,0.1712604,0.0006569394,0.001233131,0.0005992515,0.1077629,0.0000801052,0.0001328349,0.6649947,0.009926436,0.04022951],"study_design_scores_gemma":[0.001100938,0.00007226885,0.001214147,0.00003212956,0.0002945818,0.000002339867,0.03695935,0.00001726579,0.000001140499,0.001480851,0.958288,0.0005370438],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6480973,0.000105271,0.001680435,0.001319813,0.0005493401,0.0007789056,0.004388403,0.000539924,0.3425407],"genre_scores_gemma":[0.7355427,0.0001108802,0.0001557592,0.0002061007,0.0003270035,1.678375e-7,0.0001280668,0.00005757537,0.2634718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9483615,"threshold_uncertainty_score":0.9999046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01924516824365415,"score_gpt":0.2110315711228135,"score_spread":0.1917864028791593,"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."}}