{"id":"W3163613509","doi":"10.7202/1076997ar","title":"Des peuples de l’écrit aux peuples des écrans : entre copiage, complémentarité et remplacement","year":2021,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0005167959,0.0005097332,0.0004210659,0.0007740434,0.0006271827,0.02776881,0.0004877514,0.0001452875,0.00641656],"category_scores_gemma":[0.0002001276,0.0004794567,0.0002383472,0.003145855,0.0005416311,0.03151423,0.0004554641,0.0002841174,0.0001654844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005166096,"about_ca_system_score_gemma":0.001027774,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008170393,"about_ca_topic_score_gemma":0.01468721,"domain_scores_codex":[0.9963573,0.0006120633,0.0006801919,0.0007591831,0.0007056957,0.000885632],"domain_scores_gemma":[0.9975787,0.0004512335,0.0002314414,0.0004824559,0.0007691976,0.0004869116],"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":[0.00006742065,0.001178233,0.01023007,0.0006500122,0.0003484406,0.0006247294,0.05701984,0.0007283647,0.009974602,0.8016961,0.09424908,0.02323307],"study_design_scores_gemma":[0.003231164,0.001092635,0.06161668,0.002254561,0.0002704941,0.001018653,0.01170736,0.002428354,0.06992762,0.2180374,0.6266649,0.001750137],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.440338,0.1095651,0.1854079,0.06256478,0.002294856,0.001195912,0.0004913876,0.0007561098,0.197386],"genre_scores_gemma":[0.7043968,0.09060039,0.06469316,0.02233483,0.000343473,0.00007764574,0.0007626199,0.00009252554,0.1166986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5836588,"threshold_uncertainty_score":0.9997657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.194487750828635,"score_gpt":0.3889085239401819,"score_spread":0.194420773111547,"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."}}