{"id":"W7045837767","doi":"","title":"Building a shared open research data repository community in Canada","year":2022,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Data sharing; Research data; Information repository; Open data; Data collection; Data curation; Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.03638628,0.001271149,0.002435043,0.01845632,0.01205835,0.01694366,0.01034076,0.002881134,0.01815729],"category_scores_gemma":[0.08233924,0.001830568,0.002480635,0.03592824,0.005245817,0.01437192,0.02217195,0.003945092,0.01087106],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05611438,"about_ca_system_score_gemma":0.299486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9411578,"about_ca_topic_score_gemma":0.928377,"domain_scores_codex":[0.9636118,0.00376766,0.003168778,0.005744854,0.01958204,0.004124908],"domain_scores_gemma":[0.7778746,0.01449419,0.004519863,0.05458345,0.1196757,0.02885219],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001095722,0.0003751476,0.022998,0.0008867743,0.0004787371,0.0005536674,0.004646268,0.006902975,0.004384066,0.07875308,0.7173355,0.1615901],"study_design_scores_gemma":[0.000226471,0.00005391952,0.0095077,0.0004806551,0.0001779801,0.00009743463,0.003148616,0.01241616,0.004965032,0.01595287,0.9526575,0.000315736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.05625867,0.004143527,0.214172,0.04701797,0.003447027,0.004461431,0.4276848,0.1072499,0.1355647],"genre_scores_gemma":[0.1369861,0.003183782,0.2593045,0.004136331,0.0004477079,0.002317431,0.4693819,0.02549593,0.09874629],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9896592,"threshold_uncertainty_score":0.4071402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06129402572226097,"score_gpt":0.2965992277296935,"score_spread":0.2353052020074325,"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."}}