{"id":"W2804530669","doi":"10.17605/osf.io/ed8f5","title":"Bias, Impartiality, and independence in Canadian opinion evidence","year":2018,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Impartiality; Independence (probability theory); Political science; Law; Statistics; Mathematics","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003702709,0.0003648453,0.0004595559,0.000496578,0.000214708,0.0004350537,0.0007668406,0.0003663982,0.8387934],"category_scores_gemma":[0.001386468,0.0003912146,0.00009004505,0.00008145013,0.0005551988,0.0002594027,0.0007421474,0.0004678035,0.5237309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003256248,"about_ca_system_score_gemma":0.000621443,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6699058,"about_ca_topic_score_gemma":0.9626883,"domain_scores_codex":[0.9964811,0.0005071372,0.0004685647,0.001584094,0.0003808439,0.00057827],"domain_scores_gemma":[0.9973469,0.000163915,0.0002750579,0.001693019,0.0001245066,0.0003966071],"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":[0.00002634023,0.00009865171,0.07778659,0.0002814119,0.0001095398,0.00003265126,0.004475247,0.000003439593,0.00002700621,0.01771871,0.89617,0.003270458],"study_design_scores_gemma":[0.0001774262,0.000001637099,0.00762153,0.0007754105,0.00002054064,0.000005366392,0.0001235274,0.00005993669,0.00005138615,0.002250137,0.9885067,0.0004063856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005538784,0.00001873277,0.000004618541,0.0002452183,0.001039945,0.000720065,0.00006764724,0.00007385515,0.9922912],"genre_scores_gemma":[0.09347712,0.0007262061,0.00002099427,0.0001314198,0.0005605349,0.00008321133,0.00001589013,0.0001345919,0.9048501],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3150624,"threshold_uncertainty_score":0.999854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06151189491589378,"score_gpt":0.295958942004552,"score_spread":0.2344470470886582,"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."}}