{"id":"W6947546056","doi":"10.4224/21274691","title":"Implanter une infrastructure numérique avec la PRE : étude de cas","year":2013,"lang":"fr","type":"report","venue":"NPARC","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Term (time); Work (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.002897248,0.0007328943,0.0007255739,0.0004081486,0.0002789637,0.007797196,0.005899577,0.0007626017,0.00193691],"category_scores_gemma":[0.001447826,0.0006713493,0.0002412792,0.0008266165,0.0003579634,0.01845377,0.004635279,0.002495037,0.0004998454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006154774,"about_ca_system_score_gemma":0.002087951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002535677,"about_ca_topic_score_gemma":0.001031876,"domain_scores_codex":[0.992964,0.001064987,0.0008363435,0.001575892,0.002036467,0.001522306],"domain_scores_gemma":[0.9940177,0.0008968156,0.0008355851,0.00307247,0.00058695,0.0005905477],"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":[0.00006911903,0.0003530868,0.01610261,0.003225985,0.001276485,0.01058995,0.009267295,0.0003923795,0.002780005,0.1614854,0.4872319,0.3072257],"study_design_scores_gemma":[0.0002921824,0.0001414266,0.06979751,0.0004650047,0.00004923681,0.003663216,0.0001357721,0.006263359,0.0001805357,0.01123909,0.9071021,0.0006705854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01699322,0.0006670617,0.2734266,0.01367383,0.002300123,0.001915957,0.0002774136,0.0002823455,0.6904635],"genre_scores_gemma":[0.3402079,0.04775473,0.1068983,0.001363871,0.003515232,0.0007353427,0.0007260878,0.0002972435,0.4985013],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4198701,"threshold_uncertainty_score":0.9998062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0506828093585444,"score_gpt":0.3440660558656417,"score_spread":0.2933832465070972,"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."}}