{"id":"W6887110363","doi":"10.15468/dl.mn3efv","title":"Occurrence Download","year":2023,"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; Arthropod; Matching (statistics); Invertebrate; Range (aeronautics)","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":[0.001035903,0.002014728,0.001724337,0.0059634,0.001051156,0.002933145,0.002810848,0.002157758,0.1842826],"category_scores_gemma":[0.007143614,0.001002909,0.001398193,0.01108101,0.0004287143,0.002547896,0.002892305,0.002011116,0.2510435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001639796,"about_ca_system_score_gemma":0.002445989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02046997,"about_ca_topic_score_gemma":0.03266766,"domain_scores_codex":[0.9987941,0.0001456378,0.0001727983,0.0004186726,0.0002682756,0.0002005451],"domain_scores_gemma":[0.9971301,0.0008248161,0.0002727324,0.000722508,0.0007343065,0.0003155155],"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":[0.00003490197,0.000011073,0.0004342812,0.000627683,0.00001581983,0.00001569627,0.00002426535,0.0001196123,0.0001096875,0.0003625799,0.9964404,0.001804153],"study_design_scores_gemma":[0.00007682419,0.000009190369,0.001963048,0.0002142129,0.00001430487,0.00003807054,0.00007589166,0.0001626587,0.0001494438,0.0007308421,0.9965485,0.00001706692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003501996,0.00002511088,0.00004072739,0.00003116468,0.00001155743,0.000005379865,0.9989454,0.000372934,0.0005327164],"genre_scores_gemma":[0.0001409584,0.0000351151,0.0002126251,0.00004561508,0.000004051786,0.00004676196,0.9988968,0.0001573783,0.0004606738],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8157174,"threshold_uncertainty_score":0.6164867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}