{"id":"W2788150357","doi":"10.12688/mniopenres.12780.1","title":"Defining Success in Open Science","year":2018,"lang":"en","type":"article","venue":"MNI Open Research","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Genome Alberta; Wellcome Trust; Genome Canada; Bill and Melinda Gates Foundation","keywords":"Variety (cybernetics); Construct (python library); Open innovation; Public relations; Process (computing); Political science; Business; Open science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0813313,0.001294443,0.0009481604,0.01495398,0.01827012,0.04756309,0.002583677,0.009333342,0.01069011],"category_scores_gemma":[0.1740704,0.0006450447,0.001083315,0.009263995,0.08121035,0.0357675,0.04632605,0.01140974,0.003361589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01098662,"about_ca_system_score_gemma":0.01549511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002533545,"about_ca_topic_score_gemma":0.001828275,"domain_scores_codex":[0.8407397,0.08523167,0.01174243,0.009732541,0.03734069,0.01521297],"domain_scores_gemma":[0.7360562,0.1297826,0.02920131,0.0130658,0.03475179,0.05714229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007105105,0.0001836471,0.02808976,0.0006980946,0.00006864741,0.0005424621,0.1048689,0.0005641111,0.0006009005,0.7877833,0.02705128,0.04947788],"study_design_scores_gemma":[0.0000339612,0.0002944079,0.01442285,0.002790047,0.0000509281,0.0006866392,0.1560992,0.0009861694,0.0007594549,0.4608854,0.3627894,0.0002014947],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1621903,0.01202884,0.04276314,0.1843896,0.004117052,0.0009862368,0.0004618396,0.0003744622,0.5926885],"genre_scores_gemma":[0.9593139,0.004946912,0.01057098,0.01252716,0.001436827,0.001092909,0.000304608,0.0003051572,0.009501654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9974163,"threshold_uncertainty_score":0.4301261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5943257875972783,"score_gpt":0.6714072202684293,"score_spread":0.07708143267115097,"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."}}