{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.05364629,0.003034646,0.003239332,0.009202228,0.006348287,0.02821008,0.0142652,0.005960947,0.02662455],"category_scores_gemma":[0.1260804,0.002061149,0.003686528,0.01523137,0.006479162,0.02677808,0.03552064,0.01070781,0.03593333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006302459,"about_ca_system_score_gemma":0.03116342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02129192,"about_ca_topic_score_gemma":0.01927365,"domain_scores_codex":[0.9708725,0.008263885,0.002691515,0.005006185,0.0103137,0.002852356],"domain_scores_gemma":[0.8518977,0.02845769,0.006718186,0.06208935,0.02142802,0.02940913],"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":[0.00119909,0.0001072894,0.002508813,0.001006504,0.0002538065,0.0004384555,0.001284602,0.002910737,0.001493104,0.06951702,0.8703808,0.04889972],"study_design_scores_gemma":[0.0004107439,0.0001126471,0.003121,0.0009919325,0.00008094223,0.0002144771,0.0005979229,0.009810301,0.002478947,0.1066619,0.8750341,0.0004851051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.006963721,0.005743354,0.2643627,0.0624931,0.01169056,0.003691716,0.3084728,0.2584043,0.07817765],"genre_scores_gemma":[0.0429286,0.004120354,0.258475,0.01284964,0.004051888,0.004904052,0.596527,0.05767966,0.01846387],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9857348,"threshold_uncertainty_score":0.283712,"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."}}