{"id":"W4402794691","doi":"10.7202/1112345ar","title":"L’avenir des écrans de Mauro Carbone","year":2023,"lang":"fr","type":"article","venue":"Sens public","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":1,"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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002880961,0.0002420201,0.0002165408,0.000182826,0.0002703907,0.002829211,0.0004921011,0.0001483445,0.0000885133],"category_scores_gemma":[0.0002735463,0.000203622,0.0001454445,0.001861638,0.0003204713,0.002794089,0.0003637051,0.0002099299,0.001497137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001670379,"about_ca_system_score_gemma":0.0003763826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00168026,"about_ca_topic_score_gemma":0.00110927,"domain_scores_codex":[0.9977283,0.00009662927,0.0002427134,0.0004196748,0.0003108713,0.001201795],"domain_scores_gemma":[0.9984701,0.0001166,0.00006243611,0.0005146854,0.0002126255,0.0006235637],"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":[0.00000828837,0.0002652298,0.000824163,0.0001630579,0.0001249314,0.002148536,0.01559111,0.0002327428,0.005670209,0.6544885,0.1628857,0.1575975],"study_design_scores_gemma":[0.0004672763,0.0002606823,0.02560829,0.0001233312,0.00002498874,0.0009781626,0.0003317573,0.04775563,0.001383907,0.0776916,0.844717,0.0006573968],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4996625,0.004315578,0.004744888,0.09748712,0.003314361,0.000278409,0.00006912511,0.001160311,0.3889677],"genre_scores_gemma":[0.8052036,0.000254908,0.001050154,0.00118413,0.0005042308,0.000004075025,0.00001845903,0.00002447604,0.191756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6818312,"threshold_uncertainty_score":0.9992803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3846322654906305,"score_gpt":0.3197087985494246,"score_spread":0.06492346694120593,"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."}}