{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005301901,0.0002564369,0.0001595685,0.0007109268,0.007842127,0.002491021,0.0003922453,0.001022569,0.0156033],"category_scores_gemma":[0.001306363,0.000129235,0.0001126597,0.0006956802,0.004608113,0.001325477,0.002108113,0.001298786,0.00116677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003333515,"about_ca_system_score_gemma":0.001718799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06809075,"about_ca_topic_score_gemma":0.2033748,"domain_scores_codex":[0.999604,0.0001184068,0.000004993355,0.00007741242,0.0000673312,0.0001278803],"domain_scores_gemma":[0.9995912,0.000108241,0.0000748497,0.00005126336,0.00005337592,0.0001211412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004998512,0.0001017419,0.04148579,0.0002392896,0.00003346239,0.005016767,0.1958775,0.0004661001,0.004319577,0.4833488,0.08353648,0.1850747],"study_design_scores_gemma":[0.000008178121,0.00005837973,0.03015822,0.0001367638,0.000008067733,0.0005748076,0.02066921,0.0001706691,0.0005030755,0.006864603,0.9408298,0.00001832202],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4414931,0.007074508,0.0009741124,0.02001718,0.0006230295,0.00003452783,0.0002744881,0.00007875804,0.5294302],"genre_scores_gemma":[0.866809,0.001534273,0.0004053616,0.0009379819,0.0002149655,0.0000124688,0.00006332975,0.00004051662,0.1299821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06809075,"threshold_uncertainty_score":0.1353888,"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."}}