{"id":"W1716430306","doi":"10.15200/winn.144243.37003","title":"How becoming an open scientist made me fall back in love with neuroscience","year":2015,"lang":"en","type":"dataset","venue":"The Winnower","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Neuroscience; Cognitive science; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0231343,0.001317454,0.001851599,0.001922548,0.0170812,0.03527385,0.002836963,0.01278591,0.01588867],"category_scores_gemma":[0.08129703,0.00092085,0.001442658,0.001149743,0.02739329,0.03812087,0.01433083,0.04247886,0.01680744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004845108,"about_ca_system_score_gemma":0.01128463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001460367,"about_ca_topic_score_gemma":0.002486525,"domain_scores_codex":[0.974821,0.01220664,0.0006520655,0.003693368,0.006061462,0.002565401],"domain_scores_gemma":[0.9207297,0.01604426,0.003449654,0.004216191,0.01557369,0.03998652],"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":[0.0001593711,0.0001669773,0.002076538,0.0003636256,0.0001007492,0.0006278521,0.02202797,0.0002388988,0.001165326,0.178493,0.7434058,0.0511739],"study_design_scores_gemma":[0.00003291712,0.0001008499,0.0004435127,0.0007587427,0.00002310427,0.0005572549,0.009381611,0.0001713967,0.0003445398,0.1221625,0.8659036,0.0001199288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"dataset","genre_scores_codex":[0.003113234,0.01481573,0.005315988,0.9140191,0.04326799,0.00002960081,0.0001211986,0.0002252118,0.01909193],"genre_scores_gemma":[0.1119219,0.02618268,0.01537448,0.723784,0.04723118,0.0002829945,0.0003139923,0.001548126,0.07336072],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9971631,"threshold_uncertainty_score":0.1223474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05621442058306263,"score_gpt":0.3030722678800218,"score_spread":0.2468578472969591,"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."}}