{"id":"W4403010732","doi":"10.7202/1113756ar","title":"Les revues canadiennes en sciences sociales et humaines : entre diffusion nationale et internationalisation","year":2024,"lang":"fr","type":"article","venue":"Recherches sociographiques","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Internationalization; Political science; Humanities; Art; Business","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.05543248,0.001003917,0.001831613,0.02660781,0.007846198,0.03028055,0.001949589,0.00376264,0.01695025],"category_scores_gemma":[0.08139479,0.0008698004,0.001286384,0.04006458,0.01645453,0.01900421,0.01168213,0.00552345,0.004165479],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02012249,"about_ca_system_score_gemma":0.04190691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03406619,"about_ca_topic_score_gemma":0.03688308,"domain_scores_codex":[0.9484067,0.02291145,0.004550587,0.004797646,0.0168848,0.002448827],"domain_scores_gemma":[0.7900408,0.1285006,0.0128002,0.01469719,0.04689227,0.007069005],"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":[0.0001694664,0.0001227179,0.01835512,0.00671975,0.000294554,0.0005920829,0.1447739,0.000582038,0.001627271,0.5109,0.02193232,0.2939309],"study_design_scores_gemma":[0.00002063669,0.0001020241,0.02542216,0.007728091,0.0001244382,0.0005016084,0.06109833,0.000280401,0.001551609,0.04456561,0.8584957,0.0001095192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07407091,0.3109728,0.01421427,0.07527149,0.00386335,0.0003571393,0.00132243,0.0004010576,0.5195267],"genre_scores_gemma":[0.626128,0.2575246,0.01589103,0.008822744,0.002125597,0.0009165186,0.00129493,0.0006934984,0.08660305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9798775,"threshold_uncertainty_score":0.2931585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7457423671960298,"score_gpt":0.614565238017552,"score_spread":0.1311771291784778,"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."}}