{"id":"W6894001348","doi":"10.5281/zenodo.6810739","title":"Le cercle vertueux des ressources continues","year":2022,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Service (business); Consolidation (business); Context (archaeology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009452822,0.0006605044,0.0007899679,0.002957433,0.004940064,0.01048384,0.001419769,0.002884199,0.0903651],"category_scores_gemma":[0.02636869,0.0005894228,0.000886208,0.002226928,0.002381455,0.006114804,0.006906987,0.004259909,0.0306124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003940811,"about_ca_system_score_gemma":0.0110975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0290872,"about_ca_topic_score_gemma":0.0388201,"domain_scores_codex":[0.9902317,0.001598529,0.0004160297,0.001297219,0.005598352,0.0008581398],"domain_scores_gemma":[0.9773998,0.004654969,0.001205485,0.003068747,0.009799751,0.003871311],"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":[0.000829993,0.0001388927,0.004449336,0.0009084937,0.00005324548,0.001482537,0.01274112,0.0007412022,0.01207518,0.04165241,0.6056698,0.3192578],"study_design_scores_gemma":[0.00001030134,0.00004317771,0.002628512,0.0001350934,0.00000390864,0.000158077,0.001399626,0.0001204212,0.001066967,0.0008621734,0.9935436,0.00002801448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07372865,0.01534539,0.04156267,0.08308686,0.03483794,0.001605258,0.007420465,0.01045411,0.7319586],"genre_scores_gemma":[0.1517928,0.004192224,0.03191224,0.005595294,0.003679183,0.0005266714,0.006925187,0.005980635,0.7893957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0903651,"threshold_uncertainty_score":0.3023014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2046988105004897,"score_gpt":0.2747570067864249,"score_spread":0.07005819628593521,"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."}}