{"id":"W6936923771","doi":"10.58079/mt8i","title":"Format et support - Préservation audiovisuelle","year":2017,"lang":"fr","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Identification (biology); Context (archaeology); Perspective (graphical); Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication","insufficient_payload"],"category_scores_codex":[0.0007986235,0.0005698437,0.0005249904,0.0001418574,0.002364505,0.01263241,0.001771518,0.000344202,0.003965102],"category_scores_gemma":[0.0004332368,0.0005248397,0.0003050227,0.0002588204,0.0004453699,0.207673,0.00111906,0.0004197884,0.007905263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002342852,"about_ca_system_score_gemma":0.0004512685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008120057,"about_ca_topic_score_gemma":0.002604151,"domain_scores_codex":[0.9962745,0.0001677163,0.0008378724,0.0008687728,0.0009687647,0.0008823248],"domain_scores_gemma":[0.9956788,0.0001215485,0.0009782176,0.00172071,0.0008627809,0.000637951],"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":[0.00003052188,0.0003086226,0.00006611798,0.00008918764,0.00004926879,0.000172931,0.0004753756,0.0000724148,0.0001703936,0.7378003,0.2478209,0.01294395],"study_design_scores_gemma":[0.00150418,0.0006216393,0.06197534,0.0004601959,0.00006768901,0.0004888357,0.00008955527,0.002874664,0.003315177,0.03387113,0.893811,0.0009205202],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003456954,0.0007972751,0.03103215,0.3775233,0.01371219,0.001067422,0.0005361692,0.0002500729,0.5716244],"genre_scores_gemma":[0.6772593,0.001030946,0.005201594,0.1023553,0.002234214,0.0001924087,0.002006998,0.00006951088,0.2096497],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7039291,"threshold_uncertainty_score":0.9997203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1908950047706246,"score_gpt":0.3333807940132828,"score_spread":0.1424857892426582,"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."}}