{"id":"W2973530269","doi":"10.17632/553g3v244g.1","title":"BarkNet 1.0 (Part 3 of 4)","year":2019,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0009530908,0.004552435,0.001463608,0.002735706,0.000927354,0.00245812,0.00411063,0.002047503,0.1051621],"category_scores_gemma":[0.003476322,0.001787128,0.001475133,0.002254877,0.0004350046,0.003010172,0.001799214,0.002430278,0.1006399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002285443,"about_ca_system_score_gemma":0.001995097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02766465,"about_ca_topic_score_gemma":0.04389574,"domain_scores_codex":[0.9993205,0.00005086395,0.00004055177,0.0002285439,0.0002119984,0.0001475787],"domain_scores_gemma":[0.9992508,0.0001131057,0.00003421539,0.0002225023,0.000278047,0.0001012699],"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":[0.0003650111,0.0001522577,0.0008987702,0.0004605235,0.00009935252,0.00007785956,0.00003867779,0.003497162,0.002999796,0.0007315516,0.9451904,0.04548863],"study_design_scores_gemma":[0.001064684,0.0005789021,0.007427043,0.0004011787,0.0002159609,0.0004908963,0.0002060598,0.1366524,0.04035625,0.01033333,0.8020446,0.0002286805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"dataset","genre_scores_codex":[0.0160998,0.001719828,0.01770198,0.000700958,0.001513253,0.0006615337,0.4287786,0.5019021,0.03092191],"genre_scores_gemma":[0.03379263,0.0007715056,0.04260102,0.0006603201,0.0002123943,0.0009640027,0.8775735,0.01836105,0.02506355],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1051621,"threshold_uncertainty_score":0.3518022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396159910778408,"score_gpt":0.2510121784882553,"score_spread":0.2370505793804712,"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."}}