{"id":"W3161602968","doi":"10.1007/s12021-021-09516-9","title":"The C-BIG Repository: an Institution-Level Open Science Platform","year":2021,"lang":"en","type":"article","venue":"Neuroinformatics","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Fondation Brain Canada; McGill University","keywords":"Open science; Computer science; World Wide Web; Institution; Data science; Big data; Open source; Software; Programming language; Data mining; Sociology; Physics; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003808362,0.00009639153,0.00008449057,0.00002895535,0.0006896803,0.0006693625,0.001153775,0.00004715409,0.000002147934],"category_scores_gemma":[0.0003104508,0.00007371863,0.00004478781,0.0002625434,0.0002930716,0.00006084945,0.0009362189,0.00009560327,0.000007957729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001903788,"about_ca_system_score_gemma":0.0005910236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001818824,"about_ca_topic_score_gemma":0.0001163408,"domain_scores_codex":[0.9990875,0.0000179665,0.0002630457,0.0001921883,0.0002325956,0.0002066708],"domain_scores_gemma":[0.9985054,0.00001106405,0.0001095346,0.001025512,0.0002627964,0.00008574738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003442317,0.0001142915,0.000856035,0.00002410095,0.00003217624,0.00003431725,0.0002469093,0.00009752976,0.9390435,0.00377884,0.007207141,0.04853074],"study_design_scores_gemma":[0.0001617449,0.0001044753,0.001077197,0.00000546258,0.00001504944,0.0001617548,0.0002131286,0.002168419,0.8679802,0.0001235776,0.1278531,0.0001358744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8513983,0.00009224928,0.005110758,0.0001523842,0.0002155367,0.0002713283,0.000004842027,0.00004388959,0.1427106],"genre_scores_gemma":[0.991441,0.0001420522,0.005032868,0.0008288667,0.0001029847,0.00001300759,0.00005071518,0.00001041158,0.002378078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1403325,"threshold_uncertainty_score":0.6454678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03286491373367048,"score_gpt":0.2999010594244339,"score_spread":0.2670361456907634,"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."}}