{"id":"W2613396208","doi":"10.3917/i2d.171.0035","title":"« N’oubliez pas pourquoi vous êtes là ! »","year":2017,"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":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Humanities; Conviction; Art; Philosophy; Political science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007849926,0.0008120083,0.000619121,0.002887879,0.006624964,0.01277704,0.002289368,0.005473024,0.044829],"category_scores_gemma":[0.0417082,0.0007733488,0.0007332716,0.004578961,0.006064822,0.02078469,0.005394004,0.005294361,0.02388663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004083058,"about_ca_system_score_gemma":0.007589575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03343285,"about_ca_topic_score_gemma":0.05561737,"domain_scores_codex":[0.9912203,0.003340992,0.0004968746,0.0009002254,0.003619631,0.0004219293],"domain_scores_gemma":[0.9809488,0.004923226,0.0006907614,0.002950025,0.009633387,0.0008538888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007911806,0.00003264871,0.0005317447,0.0005708132,0.00001730224,0.0002408893,0.01227402,0.0001891172,0.001913409,0.1956519,0.6461618,0.1423373],"study_design_scores_gemma":[0.000003736501,0.000006709661,0.0001494711,0.0001382007,0.000005027969,0.0001672814,0.001058045,0.0001429231,0.0004126514,0.005522982,0.9923735,0.00001950509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008799274,0.01658338,0.2046021,0.27304,0.02555839,0.0003779311,0.001676279,0.008507194,0.4608554],"genre_scores_gemma":[0.1087229,0.01781861,0.1157118,0.05314786,0.004653315,0.0004427957,0.002848375,0.007005397,0.689649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.044829,"threshold_uncertainty_score":0.1499679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.219466334118287,"score_gpt":0.3234129265219219,"score_spread":0.1039465924036349,"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."}}