{"id":"W7092208457","doi":"10.5281/zenodo.17362083","title":"Open science in Canada: Here's the data","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec","keywords":"Open science; Presentation (obstetrics); Open source; Citizen science; Open data","routes":{"ca_aff":true,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009135736,0.001500328,0.00395661,0.01124739,0.009853736,0.02736758,0.005796923,0.006114259,0.4939674],"category_scores_gemma":[0.05970975,0.001628475,0.001888712,0.03169242,0.004861882,0.008699656,0.009243505,0.009841503,0.3137318],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05920628,"about_ca_system_score_gemma":0.2885547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9259138,"about_ca_topic_score_gemma":0.9265727,"domain_scores_codex":[0.9718388,0.0008280934,0.001486368,0.001423699,0.01923239,0.005190633],"domain_scores_gemma":[0.8719512,0.005207174,0.002695152,0.007928135,0.09207751,0.02014085],"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":[0.00002433835,0.000005808049,0.0000869604,0.0001615092,0.000004168367,0.000007915166,0.00001950657,0.00001526965,0.00002162926,0.0007373237,0.9948018,0.004113862],"study_design_scores_gemma":[0.00002548749,0.000003940684,0.001062725,0.0003559193,0.000007158053,0.000006807287,0.000150048,0.00002046016,0.00005668557,0.0004771207,0.997798,0.00003576928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003515934,0.002499073,0.000567282,0.04148347,0.0183259,0.000456617,0.7552696,0.004109871,0.1769366],"genre_scores_gemma":[0.01350106,0.01108755,0.003683081,0.03892405,0.002831541,0.001679695,0.5755073,0.006427672,0.3463581],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9942031,"threshold_uncertainty_score":0.7217941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1509569412284114,"score_gpt":0.3819073973124258,"score_spread":0.2309504560840144,"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."}}