{"id":"W4385299130","doi":"10.1371/journal.pcbi.1011230","title":"The Canadian Open Neuroscience Platform—An open science framework for the neuroscience community","year":2023,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; Canada's Michael Smith Genome Sciences Centre; Montreal Heart Institute; University of British Columbia; Centre for Addiction and Mental Health; Université de Montréal; Institut Universitaire de Gériatrie de Montréal; McGill University; University of Toronto; Montreal Neurological Institute and Hospital; Polytechnique Montréal; Structural Genomics Consortium","funders":"National Institutes of Health; University of British Columbia; Fonds de recherche du Québec; Institut de Cardiologie de Montréal; Fondation Brain Canada; University of Calgary; McGill University; Western University; Concordia University; Université Laval","keywords":"Open science; Executable; Computer science; Outreach; Neuroinformatics; Data science; Citizen science; World Wide Web; Preprint; Computational neuroscience; Open data; Neuroscience; Human–computer interaction; Psychology; Political science; Artificial intelligence; Biology","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"],"consensus_categories":[],"category_scores_codex":[0.03293999,0.001561852,0.001546687,0.009291283,0.01246787,0.02024915,0.009899984,0.006443385,0.03266802],"category_scores_gemma":[0.08245412,0.001413699,0.001790105,0.01039655,0.01068989,0.0135665,0.0223263,0.006972153,0.01522517],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04082164,"about_ca_system_score_gemma":0.2741068,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7045569,"about_ca_topic_score_gemma":0.7331001,"domain_scores_codex":[0.9730997,0.005299455,0.001254917,0.001641181,0.01500383,0.003700833],"domain_scores_gemma":[0.9074489,0.01462828,0.002767544,0.01576377,0.03496594,0.02442553],"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":[0.0001490809,0.00005743734,0.0008799772,0.0004467199,0.00005428649,0.0002871354,0.001913698,0.001644255,0.0008755298,0.4423222,0.4662015,0.08516826],"study_design_scores_gemma":[0.00003783466,0.00001766741,0.0007244138,0.000443574,0.0000139049,0.00008573375,0.0005372021,0.002497073,0.0003046426,0.09633293,0.898873,0.0001320839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004389874,0.007325658,0.4603741,0.1352096,0.007069262,0.003162014,0.02882471,0.0341522,0.3194925],"genre_scores_gemma":[0.07486741,0.01347708,0.7170502,0.02069605,0.002765673,0.005456026,0.03675218,0.01129912,0.1176364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9901,"threshold_uncertainty_score":0.5943661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5494769650292108,"score_gpt":0.5087971339029338,"score_spread":0.04067983112627704,"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."}}