{"id":"W3021221186","doi":"10.29173/af29402","title":"De l’imprimé au numérique et retour","year":2020,"lang":"fr","type":"article","venue":"ALTERNATIVE FRANCOPHONE","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002180421,0.0003865016,0.0004011008,0.00004511381,0.0001455602,0.00107403,0.0008263078,0.0001502732,0.0003594455],"category_scores_gemma":[0.0004440168,0.0003337458,0.0001987844,0.0007909781,0.0002017409,0.003043324,0.0004787895,0.0005093461,0.001479072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002300465,"about_ca_system_score_gemma":0.0005549049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007541137,"about_ca_topic_score_gemma":0.0003454514,"domain_scores_codex":[0.9975804,0.0002066446,0.0003785503,0.0006655522,0.000403498,0.0007653314],"domain_scores_gemma":[0.998049,0.0001753016,0.0002116342,0.0003695158,0.0003350901,0.0008594649],"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":[0.00015309,0.0006138384,0.001063557,0.0002654264,0.0004082984,0.003480231,0.2713637,0.00401994,0.02197588,0.2848357,0.3380142,0.07380608],"study_design_scores_gemma":[0.002622413,0.001573798,0.01423563,0.0005277055,0.00001671188,0.00046476,0.001986848,0.0918017,0.0755838,0.05338556,0.7562752,0.001525847],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08995793,0.008207873,0.4604421,0.1602282,0.01289017,0.0004881074,0.0001253891,0.0002723972,0.2673878],"genre_scores_gemma":[0.9353665,0.0005141,0.003339628,0.03797111,0.004461194,0.00001121806,0.000009285789,0.00003849444,0.01828852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8454085,"threshold_uncertainty_score":0.9999629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1580284449065315,"score_gpt":0.3141814230803228,"score_spread":0.1561529781737913,"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."}}