{"id":"W6948573483","doi":"10.5281/zenodo.10805088","title":"Est-ce que les ressources éducatives libres (REL) peuvent nous faire sauver du temps?","year":2024,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Environmental policy; Perspective (graphical); Latin Americans","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01083298,0.0003906378,0.0005523202,0.002302942,0.007965215,0.02835412,0.001547309,0.003814438,0.03599234],"category_scores_gemma":[0.02845285,0.000462082,0.0006287351,0.003261565,0.009830241,0.02536895,0.01015057,0.0041137,0.01272505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005565914,"about_ca_system_score_gemma":0.008744222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006914998,"about_ca_topic_score_gemma":0.01074394,"domain_scores_codex":[0.9882005,0.006198383,0.0006654751,0.0009778903,0.003024396,0.0009334076],"domain_scores_gemma":[0.9715877,0.0126279,0.002361566,0.003440127,0.006697726,0.00328496],"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":[0.0001397749,0.000148722,0.008739734,0.001369341,0.00004170199,0.0009404713,0.1757514,0.000200034,0.002289858,0.5379056,0.06163988,0.2108334],"study_design_scores_gemma":[0.000009523364,0.00004411629,0.00320104,0.0008698378,0.000018498,0.0005835278,0.0648744,0.00008100527,0.001311816,0.02209059,0.9068598,0.00005587468],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09097402,0.01731164,0.02923264,0.105942,0.002706488,0.0001564171,0.0005366979,0.001155028,0.751985],"genre_scores_gemma":[0.5427563,0.01324459,0.01588522,0.01785956,0.001330914,0.0002227035,0.0004631219,0.001219826,0.4070178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9984527,"threshold_uncertainty_score":0.1204064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02902183637011481,"score_gpt":0.2186166028696977,"score_spread":0.1895947664995829,"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."}}