{"id":"W6974479818","doi":"10.58079/mtce","title":"Webdocumentaire et enjeux historiographiques - AAC Conserveries mémorielles","year":2022,"lang":"fr","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Focus (optics); Set (abstract data type); Term (time); Context (archaeology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004774672,0.0004668901,0.0004176887,0.00751398,0.003986401,0.01387704,0.0007842638,0.001627492,0.03956717],"category_scores_gemma":[0.01157195,0.0003099771,0.0002916908,0.009305853,0.005316705,0.009049584,0.003601587,0.00303915,0.00761382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005795357,"about_ca_system_score_gemma":0.005529134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02580359,"about_ca_topic_score_gemma":0.04554914,"domain_scores_codex":[0.9965698,0.001027896,0.0002288023,0.0003277141,0.001601505,0.0002442354],"domain_scores_gemma":[0.9893941,0.004689445,0.0007071571,0.001382706,0.002795469,0.001031108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006485543,0.00005409063,0.001682519,0.001060814,0.00001465933,0.0004378625,0.02396894,0.0002725428,0.002286941,0.1694763,0.5531278,0.2475527],"study_design_scores_gemma":[8.927122e-7,0.000002761228,0.0004977644,0.0001987405,0.000001584307,0.0000883168,0.001078223,0.00002620041,0.0001638783,0.0009824468,0.9969552,0.000004124464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02061737,0.16629,0.01927443,0.1744647,0.04104047,0.0002328786,0.0025833,0.001514902,0.573982],"genre_scores_gemma":[0.1434916,0.1106191,0.01125859,0.01008499,0.01763609,0.0002050323,0.001880547,0.001811625,0.7030125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03956717,"threshold_uncertainty_score":0.1323654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1673567568960331,"score_gpt":0.3027042681660101,"score_spread":0.1353475112699771,"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."}}