{"id":"W4239429220","doi":"10.1787/tax_wages-2016-graph41-fr","title":"Canada 2015 : décomposition du coin fiscal marginal","year":2016,"lang":"fr","type":"other","venue":"˜Les œImpôts sur les salaires","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Composition (language); Economics; Art","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":[0.003685182,0.0009769305,0.001232892,0.003983553,0.002689203,0.006643828,0.001357811,0.001239308,0.03626728],"category_scores_gemma":[0.01312855,0.0006126693,0.001474706,0.007908612,0.001783275,0.002141079,0.001296627,0.003381594,0.002428368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05879189,"about_ca_system_score_gemma":0.09401789,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9541248,"about_ca_topic_score_gemma":0.9496299,"domain_scores_codex":[0.9956818,0.0006486232,0.0001313355,0.0004117525,0.002248426,0.0008780003],"domain_scores_gemma":[0.9955429,0.0006868835,0.0001984845,0.0003262059,0.002926659,0.0003188424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001105129,0.00002679517,0.006155874,0.0001009874,0.0001235886,0.00007157656,0.0003434147,0.009204683,0.0001014462,0.7737296,0.1674278,0.04260372],"study_design_scores_gemma":[0.00008529312,0.00003371985,0.03015672,0.0005854135,0.0001918722,0.0001225878,0.001585412,0.03059102,0.001008994,0.2994618,0.6360477,0.0001294694],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1049396,0.02921354,0.1025616,0.04866407,0.003661885,0.0004672881,0.1021134,0.001802557,0.606576],"genre_scores_gemma":[0.5307439,0.01124189,0.02680872,0.001802283,0.0006077906,0.0004036229,0.02227254,0.0008397627,0.4052796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05879189,"threshold_uncertainty_score":0.426567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05005571533024541,"score_gpt":0.3731099862054941,"score_spread":0.3230542708752487,"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."}}