{"id":"W7054712577","doi":"","title":"AI, Consumer Credit, and Discrimination: A Comparative Look at Canada and the United States","year":2021,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Agency (philosophy); Perspective (graphical); Quality (philosophy)","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":[0.001680227,0.0002794123,0.0006721254,0.00666806,0.01773962,0.00947336,0.001736948,0.003512259,0.01190849],"category_scores_gemma":[0.006675182,0.0002717188,0.0006611881,0.01812867,0.008748762,0.002310459,0.002204722,0.003752894,0.0002783073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08394198,"about_ca_system_score_gemma":0.1147398,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943967,"about_ca_topic_score_gemma":0.9982501,"domain_scores_codex":[0.9975649,0.0002549835,0.00003210199,0.00009928855,0.0008504081,0.001198344],"domain_scores_gemma":[0.9941987,0.001770363,0.0004075904,0.00008688995,0.002465997,0.001070458],"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":[0.0004655533,0.0005680145,0.15941,0.0005663901,0.0002022887,0.001441353,0.02932299,0.00249304,0.0003449364,0.5971127,0.1003213,0.1077514],"study_design_scores_gemma":[0.0001220758,0.0001517978,0.4505659,0.002195245,0.0004741449,0.0003856258,0.2174401,0.001772932,0.0004851806,0.04221097,0.2839796,0.0002163684],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4588798,0.0722823,0.0003974567,0.06564768,0.0004283028,0.00007486567,0.001758424,0.00002253804,0.4005086],"genre_scores_gemma":[0.9568312,0.0175474,0.000138828,0.007415122,0.0001029012,0.00002082545,0.0002735745,0.00001551124,0.01765455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08394198,"threshold_uncertainty_score":0.6090446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499477602839707,"score_gpt":0.2291605423920616,"score_spread":0.2141657663636645,"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."}}