{"id":"W2213409094","doi":"10.3917/i2d.153.0044","title":"Animer le réseau Must : un peu d’outils, beaucoup d’humain","year":2015,"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":"Musée de la Civilisation","funders":"","keywords":"Humanities; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0005129548,0.0004935112,0.0003761698,0.0002251466,0.0004300783,0.006078682,0.001030701,0.0002484447,0.0002595214],"category_scores_gemma":[0.0001789323,0.0004216937,0.0001802801,0.0007414293,0.0002152502,0.04700683,0.0007368227,0.000308247,0.0050392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003546157,"about_ca_system_score_gemma":0.0005747965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003951907,"about_ca_topic_score_gemma":0.0001290442,"domain_scores_codex":[0.9965675,0.00009835554,0.0009926346,0.0003451658,0.001091331,0.0009049615],"domain_scores_gemma":[0.9971743,0.00005054364,0.0004931028,0.0007158318,0.0006778159,0.0008883831],"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":[0.00007302305,0.0004314758,0.0003407973,0.0001515747,0.0001964478,0.00005959401,0.0387327,0.0008203888,0.00005363332,0.4670199,0.3205115,0.1716089],"study_design_scores_gemma":[0.001877025,0.0003034523,0.001401426,0.0001594515,0.00003639437,0.0001506692,0.001440643,0.008436502,0.0008905568,0.01576783,0.9688838,0.0006522819],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0845414,0.007033983,0.02985935,0.03753747,0.01242282,0.00179652,0.0002199582,0.000775844,0.8258126],"genre_scores_gemma":[0.9585488,0.0002194929,0.00290212,0.006140044,0.0004280832,0.00003112086,0.0002647119,0.00002547762,0.03144018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8740074,"threshold_uncertainty_score":0.9998235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2056089393041655,"score_gpt":0.3007754032526044,"score_spread":0.09516646394843889,"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."}}