{"id":"W3024523236","doi":"10.3917/i2d.201.0056","title":"L’influence d’ARMA International","year":2020,"lang":"fr","type":"article","venue":"I2D - Information données & documents","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec à Montréal","funders":"","keywords":"Political science; Humanities; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.02186473,0.0005964373,0.0006513312,0.003216356,0.005325356,0.01724962,0.00141233,0.00194925,0.0338142],"category_scores_gemma":[0.06745426,0.0004125108,0.0007779107,0.004831219,0.006553822,0.007370126,0.006614081,0.003818531,0.003218585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01365685,"about_ca_system_score_gemma":0.01122541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1059093,"about_ca_topic_score_gemma":0.09140524,"domain_scores_codex":[0.9697704,0.01447455,0.0008846602,0.003593633,0.008979255,0.00229757],"domain_scores_gemma":[0.9515669,0.02624332,0.003465621,0.004086436,0.0116734,0.002964413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004434199,0.0001757506,0.03532698,0.0007584454,0.0001953038,0.0005473276,0.06116447,0.001063315,0.001399876,0.6312437,0.1094214,0.1582599],"study_design_scores_gemma":[0.00005224801,0.0001188254,0.0318608,0.00131138,0.0001565463,0.0002257414,0.03999913,0.001208349,0.00150924,0.04204541,0.8814,0.0001123834],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0664505,0.003028704,0.007314667,0.04548515,0.002292355,0.000119041,0.0006873306,0.0001865311,0.8744357],"genre_scores_gemma":[0.8334854,0.002704574,0.008036937,0.01014552,0.0007364132,0.0004807176,0.0005818391,0.0006613907,0.1431672],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1059093,"threshold_uncertainty_score":0.2105858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1397327718240909,"score_gpt":0.2973840049227615,"score_spread":0.1576512330986706,"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."}}