{"id":"W2964351545","doi":"10.6084/m9.figshare.c.4578845.v6","title":"NeuroDataScience - Course 2019","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Course (navigation); Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004028546,0.0001056836,0.00007369155,0.00006306649,0.0001417994,0.0001304652,0.0004189234,0.00002843116,0.2467735],"category_scores_gemma":[0.001637966,0.00009780274,0.00003931319,0.0005694184,0.00002105373,0.0005369543,0.00009943297,0.0001387001,0.09679721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001402752,"about_ca_system_score_gemma":0.0001344068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001178897,"about_ca_topic_score_gemma":3.481839e-7,"domain_scores_codex":[0.9986708,0.00005956899,0.0001066464,0.0005456848,0.0003506763,0.0002666145],"domain_scores_gemma":[0.9992453,0.0001792707,0.00007493447,0.0003354345,0.00005744048,0.0001076437],"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":[0.000007134013,0.0001072553,0.0002619407,0.00001704179,2.332885e-7,0.000008584136,0.00004034615,0.00001292001,0.1608901,0.0003217688,0.8354566,0.002876171],"study_design_scores_gemma":[0.000222328,0.0001089999,0.0257668,0.0001134158,0.000002279817,0.00004693484,0.00003330253,0.0005969979,0.1522549,0.00006146744,0.8205485,0.0002440554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3140727,0.00008947247,0.00001339353,0.002750359,0.01046589,0.002561146,0.4019207,0.001145272,0.266981],"genre_scores_gemma":[0.97061,0.000003195191,0.000006149739,0.008122107,0.0001012888,0.00005908181,0.00401873,0.00001627829,0.01706312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6565374,"threshold_uncertainty_score":0.903906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05569621573518103,"score_gpt":0.2997561283761988,"score_spread":0.2440599126410178,"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."}}