{"id":"W2106841381","doi":"10.7202/602319ar","title":"L’influence de la science économique sur les historiens : une analyse de deux revues canadiennes d’histoire (1970-1996)","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007600041,0.0006760583,0.0007082202,0.01868842,0.006696453,0.01049013,0.001117821,0.001141481,0.0088285],"category_scores_gemma":[0.01527878,0.0006841629,0.0004820412,0.04580727,0.01219775,0.003944189,0.002614783,0.002462331,0.0009057631],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0782287,"about_ca_system_score_gemma":0.05097963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8202836,"about_ca_topic_score_gemma":0.8451242,"domain_scores_codex":[0.9960472,0.0008751319,0.000206778,0.0003841587,0.001627107,0.0008596987],"domain_scores_gemma":[0.9864752,0.006844154,0.001350858,0.0005191895,0.004244172,0.000566443],"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":[0.0003269745,0.00004959016,0.0357705,0.005066097,0.0001928964,0.001354133,0.3281698,0.001443548,0.0008934981,0.3357436,0.04704802,0.2439413],"study_design_scores_gemma":[0.00001781654,0.00002917764,0.09595063,0.003911189,0.0001047944,0.0002135365,0.06429476,0.0001317633,0.000818065,0.006857352,0.8276131,0.00005777846],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1630099,0.5134523,0.001771109,0.04517663,0.001717633,0.000153632,0.002374714,0.00006437756,0.2722797],"genre_scores_gemma":[0.5840945,0.3551022,0.0009986819,0.002884503,0.0005926075,0.0001351082,0.0009578764,0.0001543137,0.05508012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9813116,"threshold_uncertainty_score":0.5675917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01861826319266086,"score_gpt":0.2373452079757257,"score_spread":0.2187269447830648,"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."}}