{"id":"W6981402397","doi":"","title":"The Effect of Differences in Treatment of \\nthe Canada Emergency Response Benefit \\nacross Provincial and Territorial Income \\nAssistance Programs","year":2020,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cash; Ambivalence; Payment; Earnings","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":[0.002750832,0.000454123,0.0008028356,0.0005058185,0.001673583,0.001566866,0.002076419,0.001704433,0.01106143],"category_scores_gemma":[0.01914011,0.0002885327,0.001364424,0.000893355,0.001206889,0.0006029314,0.001454851,0.002597971,0.0004650335],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0305917,"about_ca_system_score_gemma":0.04137873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8673204,"about_ca_topic_score_gemma":0.9200892,"domain_scores_codex":[0.9917045,0.0029042,0.0003309614,0.0008143449,0.001148916,0.00309704],"domain_scores_gemma":[0.9879134,0.003433552,0.001488139,0.000447001,0.00193528,0.004782661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1262372,0.01485955,0.5223491,0.001382815,0.003700277,0.0005443927,0.006937355,0.007664999,0.003144157,0.009110137,0.03461578,0.2694544],"study_design_scores_gemma":[0.003427426,0.01096369,0.9566527,0.0005371693,0.001539736,0.00007096774,0.004088477,0.003018965,0.001213301,0.0007413346,0.01765466,0.00009146271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703084,0.003178467,0.000359568,0.003760233,0.0004620141,0.0005672945,0.002483288,0.00004784875,0.01883302],"genre_scores_gemma":[0.9859883,0.0005424047,0.0003631902,0.001079144,0.00006106477,0.0003422966,0.001021107,0.00001830593,0.01058415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9694083,"threshold_uncertainty_score":0.266922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01696463276685559,"score_gpt":0.2211372378913034,"score_spread":0.2041726051244478,"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."}}