{"id":"W280710510","doi":"10.22329/wyaj.v27i1.4560","title":"Equality Kapped; Media Unleashed","year":2009,"lang":"en","type":"article","venue":"Windsor Yearbook of Access to Justice","topic":"Multicultural Socio-Legal Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Supreme court; Political science; Media coverage; Humanities; Sociology; Law; Media studies; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007004578,0.0001678465,0.0003323353,0.00006666989,0.0004350807,0.000137811,0.000832384,0.0001309335,0.0004209644],"category_scores_gemma":[0.001929057,0.000147578,0.0001010574,0.0004693464,0.0002550186,0.0005148787,0.0001497863,0.0001685797,0.0001898181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001437188,"about_ca_system_score_gemma":0.00009915596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003523972,"about_ca_topic_score_gemma":0.001166177,"domain_scores_codex":[0.9978971,0.0001898531,0.0003507053,0.0003106883,0.0007746005,0.0004770607],"domain_scores_gemma":[0.9986887,0.0003497781,0.0001593287,0.000235712,0.000295058,0.0002714231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0008775167,0.001611975,0.03338908,0.0006727477,0.0004606125,0.00005782444,0.4666019,0.000688649,0.01055438,0.2356736,0.1334962,0.1159155],"study_design_scores_gemma":[0.001098872,0.0002064664,0.7570645,0.000216803,0.0004825662,6.254278e-7,0.02352753,0.00002989645,0.002352838,0.003345348,0.2106939,0.0009807198],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6271602,0.0005215509,0.0002485245,0.02522423,0.001120906,0.001115944,0.00003277526,0.0003177918,0.3442581],"genre_scores_gemma":[0.994993,0.00007264304,0.0009406559,0.001482213,0.0008388688,0.00001114376,0.000002812695,0.000009803954,0.001648867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7236754,"threshold_uncertainty_score":0.6018056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08740563674334273,"score_gpt":0.3907192333171318,"score_spread":0.303313596573789,"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."}}