{"id":"W4386293054","doi":"10.4000/communication.17115","title":"1877 : Enregistrement total, transmission sensible à distance et lecture digitale","year":2023,"lang":"fr","type":"article","venue":"Communication","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transmission (telecommunications); Computer science; Telecommunications","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":[0.004138175,0.000521932,0.0003663675,0.003004734,0.008606365,0.009054015,0.0007398581,0.001704072,0.01450145],"category_scores_gemma":[0.006328736,0.0003250166,0.0002985069,0.004588871,0.01905644,0.007119123,0.004002045,0.002553649,0.002122017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02030882,"about_ca_system_score_gemma":0.007313959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07443014,"about_ca_topic_score_gemma":0.06897411,"domain_scores_codex":[0.9949728,0.002231202,0.0002608183,0.00066251,0.001207558,0.0006650351],"domain_scores_gemma":[0.9960749,0.001937781,0.0004096978,0.0005152644,0.0007366305,0.0003257101],"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":[0.00006108128,0.00001812225,0.002021851,0.0001640601,0.000009313468,0.0003074062,0.2493716,0.0002759214,0.000513521,0.6920744,0.008240934,0.04694171],"study_design_scores_gemma":[0.00001212125,0.00004420508,0.005349557,0.000289435,0.00001386434,0.0003978392,0.05953009,0.0001766939,0.001055287,0.01657608,0.9165177,0.00003708636],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2590288,0.02098275,0.01064429,0.02062506,0.001174884,0.00006996767,0.0005287745,0.0001757359,0.6867698],"genre_scores_gemma":[0.8910761,0.005435399,0.001174429,0.0004883907,0.0002914507,0.00004158068,0.0001125326,0.00007744025,0.1013026],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07443014,"threshold_uncertainty_score":0.1479938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05039861621741533,"score_gpt":0.3480144264638448,"score_spread":0.2976158102464295,"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."}}