{"id":"W4392533159","doi":"","title":"Intangible Cultural Heritage and Digital Technologies : representations and uses","year":2020,"lang":"fr","type":"preprint","venue":"theses.fr (ABES)","topic":"Cultural Heritage Management and Preservation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intangible cultural heritage; Cultural heritage; Data science; Computer science; Geography; 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":[0.002024995,0.0006334716,0.0002666299,0.00294538,0.003289135,0.01513506,0.000922478,0.002130943,0.008597174],"category_scores_gemma":[0.003475708,0.0003338066,0.0004582367,0.004264466,0.01815355,0.01389489,0.00529298,0.002661418,0.0007724679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003603968,"about_ca_system_score_gemma":0.001851105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005687573,"about_ca_topic_score_gemma":0.00802629,"domain_scores_codex":[0.998356,0.0008212913,0.00006713289,0.0001870283,0.0004005327,0.0001680089],"domain_scores_gemma":[0.9978045,0.001340145,0.0001915443,0.0003714902,0.0001669303,0.0001255628],"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":[0.00002592448,0.00002938275,0.001835057,0.0001722351,0.000007464171,0.0001854251,0.06707809,0.0002185048,0.0004019741,0.8936858,0.002170515,0.03418972],"study_design_scores_gemma":[0.00001715117,0.00004930382,0.006882042,0.0009383761,0.00003028282,0.00118469,0.1025063,0.001237989,0.001869627,0.4166605,0.4685664,0.0000572581],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1748033,0.01599713,0.06334808,0.02125086,0.0005046176,0.0001016182,0.0002838813,0.0001340471,0.7235764],"genre_scores_gemma":[0.9299825,0.006508094,0.0120933,0.001014781,0.0001772216,0.0001496044,0.0001200615,0.00009893815,0.04985534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01513506,"threshold_uncertainty_score":0.02876037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1249659157724726,"score_gpt":0.2742722137201696,"score_spread":0.149306297947697,"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."}}