{"id":"W6962187618","doi":"10.15468/dl.k9ktp3","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; Matching (statistics); Range (aeronautics); Baccharis; State (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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008847505,0.001952181,0.001651527,0.005224436,0.001110057,0.002735907,0.002855172,0.002259993,0.1539453],"category_scores_gemma":[0.005871542,0.0009362106,0.001417455,0.009765046,0.0004423273,0.002480871,0.00265493,0.002032588,0.2287208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584638,"about_ca_system_score_gemma":0.002380357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01923191,"about_ca_topic_score_gemma":0.0318999,"domain_scores_codex":[0.9989395,0.0001423057,0.0001373115,0.0003900789,0.0002120207,0.0001789018],"domain_scores_gemma":[0.9977259,0.0006321078,0.0001958356,0.0006143701,0.0005809105,0.000250856],"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":[0.00003274731,0.00001244835,0.0004736025,0.0007252042,0.00001751607,0.0000187834,0.00002595974,0.0001345818,0.0001404196,0.0003674242,0.9961462,0.001905028],"study_design_scores_gemma":[0.00006753739,0.000009254391,0.001877174,0.0002269717,0.00001671814,0.00004648195,0.00007701456,0.0001855551,0.0001988623,0.0007347271,0.996542,0.00001761039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005614134,0.00004622294,0.00005236737,0.00004528505,0.0000155223,0.000006715608,0.9985158,0.0005038888,0.0007580985],"genre_scores_gemma":[0.0001829794,0.00004644418,0.0002222861,0.00005723633,0.000004192065,0.00004618178,0.9987852,0.0001529184,0.000502597],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8460547,"threshold_uncertainty_score":0.5149982,"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."}}