{"id":"W3159743599","doi":"10.12688/mniopenres.12780.2","title":"Defining Success in Open Science","year":2018,"lang":"en","type":"article","venue":"MNI Open Research","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Institut de science ouverte Tanenbaum; Canadian Institutes of Health Research; Genome Alberta; Genome Canada; Bill and Melinda Gates Foundation","keywords":"Variety (cybernetics); Construct (python library); Open innovation; Public relations; Political science; Process (computing); Open science; Business; Marketing; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003224617,0.00005427981,0.000085195,0.0002731691,0.0001631055,0.0006560684,0.002751323,0.00004058815,0.00033954],"category_scores_gemma":[0.0002250365,0.00004947957,0.000005292777,0.00181203,0.000323704,0.0005444647,0.001254503,0.0002687378,0.0005294071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001495715,"about_ca_system_score_gemma":0.0001838048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001595175,"about_ca_topic_score_gemma":0.0002279121,"domain_scores_codex":[0.9988244,0.00002552766,0.0001145444,0.0002134942,0.0003645028,0.0004575086],"domain_scores_gemma":[0.9994108,0.00006468141,0.000004217132,0.0002809316,0.0001049308,0.0001344441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001412905,0.0006160614,0.06430631,0.0009448604,0.00005032626,0.00006849684,0.01119747,0.001930587,0.06343661,0.139966,0.2295388,0.4878033],"study_design_scores_gemma":[0.002047234,0.000431293,0.4791617,0.0009374737,0.000003411536,0.00001939109,0.001441468,0.1686988,0.07624576,0.008163274,0.2618542,0.0009959146],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6722128,0.0001547542,0.000251142,0.001004781,0.0006767511,0.0005213444,0.00000280272,0.00006863965,0.325107],"genre_scores_gemma":[0.9974738,0.00001483426,0.001625941,0.00002247496,0.00008328792,0.0000762916,0.000002842138,0.00001296429,0.0006875732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4868073,"threshold_uncertainty_score":0.6804634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1064496548171931,"score_gpt":0.4474894418689481,"score_spread":0.341039787051755,"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."}}