{"id":"W6902239631","doi":"10.6084/m9.figshare.4213269","title":"#scidata16 -- Alan C. Evans -- CBRAIN and the Canadian Brain Initiative","year":2016,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Government (linguistics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008214357,0.00222324,0.003356143,0.01416785,0.007540298,0.01471484,0.006887779,0.004111005,0.7010581],"category_scores_gemma":[0.0502172,0.00153101,0.002204461,0.02977408,0.002201294,0.007730946,0.008348531,0.004636753,0.6462407],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01652466,"about_ca_system_score_gemma":0.04415335,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3793614,"about_ca_topic_score_gemma":0.5629905,"domain_scores_codex":[0.9918973,0.0004663247,0.0005257108,0.0008770474,0.005235604,0.0009979935],"domain_scores_gemma":[0.9350227,0.004075453,0.001838204,0.01127256,0.03747661,0.01031448],"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":[0.0000222693,0.000002643106,0.00003041537,0.0001220188,0.000003015391,0.000004272713,0.00001263771,0.000007583232,0.00003088795,0.0007418083,0.9959549,0.003067739],"study_design_scores_gemma":[0.0000224075,0.000003080669,0.0006199725,0.0001766389,0.000006647142,0.000006250072,0.00003116584,0.00001346368,0.0001194808,0.001077684,0.9979044,0.00001871046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00009525106,0.0007357032,0.0006243075,0.007143193,0.002026361,0.0002696041,0.7482163,0.008784342,0.232105],"genre_scores_gemma":[0.001706863,0.0019755,0.003777541,0.004831217,0.0008046424,0.001246365,0.6969059,0.01031204,0.2784399],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9834753,"threshold_uncertainty_score":0.7543066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04360531565912002,"score_gpt":0.3279957788909138,"score_spread":0.2843904632317938,"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."}}