{"id":"W6969288248","doi":"10.5683/sp2/wwb9fe","title":"La fabriqueREL, le pourquoi, le quoi, le comment et les premiers résultats","year":2021,"lang":"fr","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Context (archaeology); Public policy; ESPACE","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":[0.01384205,0.0009962256,0.0006489451,0.002450624,0.008629505,0.01798037,0.00171274,0.005904536,0.02734967],"category_scores_gemma":[0.02815852,0.0004653829,0.001147627,0.003497811,0.01151233,0.01622874,0.006752389,0.01011229,0.006757463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01383734,"about_ca_system_score_gemma":0.01486368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08968268,"about_ca_topic_score_gemma":0.07914665,"domain_scores_codex":[0.9854808,0.004861624,0.000591834,0.002399227,0.004878643,0.001787784],"domain_scores_gemma":[0.9757109,0.009650403,0.0015697,0.002288466,0.009477357,0.001303176],"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":[0.0001424413,0.00007416539,0.004291498,0.0007843529,0.00005911729,0.0002742866,0.02061882,0.0002552137,0.0006706153,0.6069574,0.2855683,0.08030374],"study_design_scores_gemma":[0.000008882132,0.0000264822,0.002469392,0.0007935792,0.00002357474,0.0001676402,0.00658822,0.0001058018,0.0007019865,0.02238999,0.9666817,0.00004277458],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"dataset","genre_scores_codex":[0.01679971,0.06970429,0.01156356,0.5027292,0.01199884,0.00009801218,0.001211084,0.0002665602,0.3856288],"genre_scores_gemma":[0.3043625,0.05895359,0.01111112,0.1657622,0.007327222,0.0003130316,0.001331884,0.0007504928,0.450088],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.08968268,"threshold_uncertainty_score":0.1783213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02530762877752855,"score_gpt":0.2889521884816032,"score_spread":0.2636445597040746,"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."}}