{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.000635572,0.0002481535,0.0002445112,0.00009907358,0.0001562788,0.00262314,0.008904982,0.00007492903,0.00001606166],"category_scores_gemma":[0.00001999694,0.0001545241,0.00002176809,0.001220214,0.0002502144,0.001188493,0.002189983,0.0004261986,0.0002559756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000467123,"about_ca_system_score_gemma":0.0001941614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003220534,"about_ca_topic_score_gemma":0.001091516,"domain_scores_codex":[0.9979693,0.0001106835,0.0001902425,0.0008241907,0.0004740737,0.0004314765],"domain_scores_gemma":[0.9972973,0.00004955561,0.0002002909,0.002215244,0.00008972212,0.000147821],"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":[0.000004439688,0.00006550187,0.00001379496,0.000003925498,0.000001440162,0.0000113851,0.00008500939,0.0001822352,0.00006224949,0.0002541375,0.9990391,0.0002768108],"study_design_scores_gemma":[0.0002202248,0.00009933125,0.0002701892,0.00003848851,0.000006311922,0.00003591944,0.00002694257,0.003415593,0.00001357578,0.0004965026,0.9951013,0.0002755657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002482854,0.0001904056,0.01167982,0.06126945,0.002697127,0.003813519,0.9161443,0.0001128971,0.001609633],"genre_scores_gemma":[0.01539504,0.0001819352,0.01776716,0.03103073,0.001810476,0.0003914468,0.9007601,0.0001524752,0.0325106],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03090097,"threshold_uncertainty_score":0.9984123,"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."}}