{"id":"W2595181142","doi":"10.3917/riges.421.0048","title":"Des chiffres qui parlent !","year":2017,"lang":"fr","type":"article","venue":"Gestion","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Forestry; Philosophy; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003405446,0.001075646,0.0006136649,0.001214223,0.01156783,0.01089966,0.001029358,0.004818909,0.02622199],"category_scores_gemma":[0.01432295,0.0005296713,0.0007983236,0.0011279,0.01795225,0.01740642,0.006259056,0.01051414,0.01039073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003145137,"about_ca_system_score_gemma":0.002023126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01394021,"about_ca_topic_score_gemma":0.02340542,"domain_scores_codex":[0.9959255,0.002133127,0.00008888992,0.000422366,0.001037208,0.0003929032],"domain_scores_gemma":[0.9953943,0.001441901,0.0002964299,0.0008234199,0.001335981,0.0007078972],"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":[0.0001730213,0.00004861041,0.002176574,0.0003217931,0.00005389336,0.001821725,0.2855278,0.0001908522,0.003522767,0.4361343,0.2197101,0.05031851],"study_design_scores_gemma":[0.000007677421,0.00002546384,0.0009018657,0.0002383415,0.00001051939,0.0008326907,0.05186104,0.0001013767,0.0005704369,0.02369544,0.9216999,0.0000552534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07744875,0.02890021,0.03419604,0.2615002,0.01929425,0.0001806816,0.0007255846,0.001402678,0.5763516],"genre_scores_gemma":[0.492094,0.008908049,0.01408689,0.03390754,0.003251606,0.0002038266,0.0003095141,0.001988926,0.4452496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02622199,"threshold_uncertainty_score":0.08772129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3030202178057724,"score_gpt":0.3317922156714381,"score_spread":0.0287719978656657,"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."}}