{"id":"W7108601441","doi":"10.5281/zenodo.17819461","title":"Le b.a.-ba des REL : Pourquoi partager ses ressources?","year":2025,"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":"Université de Sherbrooke","funders":"","keywords":"Session (web analytics); Public funding","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.004402065,0.0009104945,0.0007058221,0.0008171601,0.004702303,0.006228304,0.0009707563,0.003841582,0.1274161],"category_scores_gemma":[0.009889594,0.0006568037,0.0008695692,0.0007387421,0.00186583,0.01081592,0.004713635,0.00470766,0.08344273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002500393,"about_ca_system_score_gemma":0.00338094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00692084,"about_ca_topic_score_gemma":0.009596215,"domain_scores_codex":[0.9977847,0.0008736147,0.00007681884,0.0004642182,0.0005002925,0.0003003435],"domain_scores_gemma":[0.9964373,0.0008476915,0.0001551091,0.0003629751,0.001325253,0.0008716799],"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":[0.0005524341,0.0002044324,0.002119591,0.000496036,0.00001418228,0.0004561244,0.01368165,0.0002605083,0.009234121,0.04991814,0.776708,0.1463548],"study_design_scores_gemma":[0.00001127811,0.00004700997,0.0006814264,0.00013126,0.000005389958,0.0003807973,0.003166548,0.000421776,0.001393748,0.002685304,0.9910368,0.0000386921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.03847495,0.008143152,0.2194479,0.1232252,0.02175548,0.0018578,0.005315624,0.01212018,0.5696598],"genre_scores_gemma":[0.1147283,0.003769158,0.04992869,0.0174128,0.00268972,0.0009766131,0.002448022,0.004917494,0.8031292],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9990292,"threshold_uncertainty_score":0.4262494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1778325100918479,"score_gpt":0.2920400484328948,"score_spread":0.1142075383410468,"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."}}