{"id":"W3087186832","doi":"","title":"Charge fiscale nette 2015 : Effets des modifications fédérales dans le classement du Québec et de l’Ontario","year":2016,"lang":"fr","type":"article","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Physics","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":[0.002360533,0.0003210317,0.0005996365,0.000978015,0.002025065,0.002975727,0.001487741,0.001794463,0.009941824],"category_scores_gemma":[0.01229266,0.0003608323,0.0008822936,0.001205113,0.001823134,0.0007317014,0.001458015,0.001619002,0.0005588799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05769813,"about_ca_system_score_gemma":0.06043423,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9854817,"about_ca_topic_score_gemma":0.9920741,"domain_scores_codex":[0.9973678,0.0004467607,0.0001118318,0.0002119281,0.0008715017,0.0009901997],"domain_scores_gemma":[0.9894447,0.002363291,0.001613529,0.0003432424,0.003121259,0.003113999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009910948,0.001394744,0.7137908,0.000738294,0.001217474,0.0008100778,0.005910189,0.02125954,0.002876555,0.03329437,0.1003505,0.1084465],"study_design_scores_gemma":[0.0005022309,0.0003595048,0.9436443,0.0001285181,0.0002771576,0.00003972312,0.003053647,0.003035954,0.0007205001,0.0006325466,0.04755885,0.00004697677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471291,0.002264613,0.0005164372,0.0153249,0.0004281127,0.0002065081,0.008187627,0.0001330442,0.02580952],"genre_scores_gemma":[0.9595041,0.0005734929,0.000258904,0.001054193,0.0000984486,0.0000771417,0.001547475,0.00001642589,0.03686982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05769813,"threshold_uncertainty_score":0.4186312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810865352511993,"score_gpt":0.232045199317379,"score_spread":0.213936545792259,"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."}}