{"id":"W6962598283","doi":"10.15468/dl.u5z344","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Ichthyology; Data collection","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":[0.0009735637,0.001953938,0.001553632,0.005051337,0.000997234,0.00261584,0.002898887,0.001963322,0.1887109],"category_scores_gemma":[0.006299509,0.001011963,0.001129271,0.009830826,0.0004495416,0.002562813,0.002653041,0.00209909,0.2471447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810914,"about_ca_system_score_gemma":0.002492928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02566305,"about_ca_topic_score_gemma":0.04040507,"domain_scores_codex":[0.9989497,0.0001337132,0.0001229228,0.0003687538,0.0002580858,0.0001669141],"domain_scores_gemma":[0.9973727,0.0007156149,0.0002189384,0.0007056345,0.0006918168,0.0002952489],"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":[0.00002501365,0.000009957564,0.0003219395,0.0004024578,0.00001164824,0.00001263352,0.00002135488,0.0001092905,0.00009464409,0.0003459292,0.9972245,0.001420658],"study_design_scores_gemma":[0.00006389522,0.000006857242,0.001752307,0.0001561021,0.00001213538,0.00003531083,0.00007544093,0.0001668808,0.0001949357,0.0007559818,0.996763,0.0000171775],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003757963,0.0000205548,0.00005092493,0.00003630064,0.00001076001,0.00000504164,0.9986444,0.0004754484,0.0007189495],"genre_scores_gemma":[0.000164546,0.00002901343,0.0002296701,0.00004058834,0.000003242018,0.00004167969,0.9987004,0.0002085694,0.0005821979],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8112891,"threshold_uncertainty_score":0.631301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}