{"id":"W3158127777","doi":"10.7202/1076602ar","title":"LES CONSÉQUENCES DES PROGRAMMES DE CONTRÔLE DES ÉVALUATIONS FONCIÈRES SUR LES TAUX DE TAXATION MUNICIPALE DES ENTREPRISES : LE CAS DE LA NOUVELLE-ÉCOSSE","year":2021,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; Cape Breton University","funders":"","keywords":"Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02114431,0.0007753515,0.0009593341,0.001420546,0.001244435,0.003167775,0.001487386,0.001391106,0.006634736],"category_scores_gemma":[0.05225106,0.0004876333,0.0008629567,0.001441434,0.001964443,0.001558098,0.00242807,0.002204663,0.0005690107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007140618,"about_ca_system_score_gemma":0.01081282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0282925,"about_ca_topic_score_gemma":0.02958557,"domain_scores_codex":[0.9803078,0.01014522,0.0008666267,0.002512849,0.004352846,0.001814726],"domain_scores_gemma":[0.9405708,0.03766614,0.007025287,0.004540839,0.008089148,0.002107731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007693677,0.004355966,0.09926679,0.001252552,0.0008365241,0.0003771452,0.004221725,0.06462125,0.009394281,0.1068073,0.01069865,0.6904742],"study_design_scores_gemma":[0.004243647,0.02265165,0.5619823,0.00126766,0.001160945,0.0003588236,0.004734758,0.1462087,0.03855139,0.04800412,0.1704357,0.0004002405],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8552147,0.002176126,0.07615215,0.005250333,0.0005920329,0.003478421,0.001588376,0.0008620705,0.05468582],"genre_scores_gemma":[0.9603919,0.0003222421,0.01857102,0.0004159119,0.00008223845,0.001798129,0.0004064949,0.00004591323,0.0179663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9717075,"threshold_uncertainty_score":0.1118231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1111419544303121,"score_gpt":0.3489247355224869,"score_spread":0.2377827810921749,"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."}}