{"id":"W6943704165","doi":"10.15468/fzscxc","title":"The Ascidiacea collected during the 2017 British Columbia Hakai MarineGEO BioBlitz","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"New england; Aquatic 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":[0.0003743095,0.001160635,0.0009832386,0.006783294,0.001852904,0.001790757,0.001571973,0.0008491097,0.05714108],"category_scores_gemma":[0.00274699,0.0004788045,0.0004102622,0.01539243,0.0004676801,0.0007506305,0.001603501,0.001202222,0.04071941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005422158,"about_ca_system_score_gemma":0.008621015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7214555,"about_ca_topic_score_gemma":0.8516729,"domain_scores_codex":[0.9994745,0.0000226163,0.00003909372,0.0001049445,0.0002100494,0.0001488561],"domain_scores_gemma":[0.998114,0.0001632894,0.0001739223,0.0002399867,0.001073797,0.0002349926],"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":[0.00006629008,0.000008822339,0.003090796,0.0006254365,0.00002257672,0.0000535262,0.0001004796,0.0001174731,0.0002565154,0.0003376914,0.9883932,0.006927168],"study_design_scores_gemma":[0.00002610788,0.000002800778,0.02315096,0.0004127196,0.00001918829,0.00004176231,0.0002437632,0.00007841014,0.000228147,0.0002320317,0.9755417,0.00002251084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004089412,0.0001285389,0.000024514,0.00003555902,0.00001784373,0.000006695278,0.9974325,0.0001036266,0.001841801],"genre_scores_gemma":[0.001455206,0.0002012701,0.0002042101,0.00002320936,0.000004796227,0.0000457848,0.9957839,0.00004600338,0.002235667],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2785445,"threshold_uncertainty_score":0.5603698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025605623789217,"score_gpt":0.1995171537086861,"score_spread":0.1892610974707939,"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."}}