{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0002731702,0.0004547078,0.0003549813,0.0001798779,0.001372356,0.024058,0.002019451,0.0002313851,0.0004613293],"category_scores_gemma":[0.0005204074,0.000371421,0.0002075658,0.0002023305,0.0003066392,0.08047248,0.001181817,0.000278415,0.007304975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001605809,"about_ca_system_score_gemma":0.0001750325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001930566,"about_ca_topic_score_gemma":0.0001473146,"domain_scores_codex":[0.9971367,0.00004327047,0.0008427143,0.000312218,0.000827442,0.0008376334],"domain_scores_gemma":[0.9966045,0.0000790285,0.0009434472,0.001395904,0.0004694024,0.0005077375],"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":[0.00004166989,0.0002092682,0.001821684,0.0002155527,0.0001637262,0.0000517063,0.01050604,0.0002120156,0.00005475777,0.4346174,0.2455167,0.3065895],"study_design_scores_gemma":[0.001182754,0.0001977835,0.01244457,0.0003098856,0.00003272263,0.0001429026,0.0002017719,0.004680658,0.0009984403,0.01990911,0.9592886,0.0006107999],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05785684,0.001790098,0.006937971,0.04592608,0.01034504,0.0009348314,0.0001424637,0.0003705334,0.8756961],"genre_scores_gemma":[0.9239647,0.0005544859,0.002079091,0.005903563,0.0005296979,0.00002521399,0.000110089,0.00001891277,0.06681421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8661079,"threshold_uncertainty_score":0.9999277,"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."}}