{"id":"W6945761875","doi":"10.25549/webster-c100-11161","title":"Comments on the Christopher Commission","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Newspaper; Royal Commission; Economic Justice; Variety (cybernetics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00764426,0.001417617,0.001201256,0.006703832,0.003235462,0.007430293,0.002566122,0.002923668,0.2389732],"category_scores_gemma":[0.06977627,0.0008408148,0.0008332558,0.01819648,0.00113769,0.003316884,0.004307461,0.00407358,0.2032467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008449221,"about_ca_system_score_gemma":0.01510684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1703817,"about_ca_topic_score_gemma":0.184756,"domain_scores_codex":[0.9921705,0.001112214,0.0006880291,0.0009353413,0.003989825,0.001104121],"domain_scores_gemma":[0.9583635,0.01122973,0.002258417,0.004672388,0.02073055,0.002745335],"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":[0.000003621199,7.774102e-7,0.00006048833,0.000006443141,3.267641e-7,0.000002254721,0.000004971092,0.000003647509,0.000002354167,0.00006829893,0.999473,0.0003736959],"study_design_scores_gemma":[0.00001568005,0.000002090298,0.001172144,0.00007729959,0.00000242541,0.000007850119,0.000145646,0.00002837183,0.0000615701,0.0001492106,0.998326,0.00001178402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001005574,0.0004954756,0.0002518889,0.04494684,0.01075156,0.0002286439,0.8930628,0.000726123,0.04853123],"genre_scores_gemma":[0.006430293,0.001333547,0.001291986,0.03359092,0.00442926,0.001863365,0.7487006,0.002542934,0.1998171],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2389732,"threshold_uncertainty_score":0.7994449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01077014992092253,"score_gpt":0.1700707773610959,"score_spread":0.1593006274401734,"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."}}