{"id":"W6905821247","doi":"10.15468/dl.kpgarm","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":"Matching (statistics); Download; Range (aeronautics); Alien","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":[0.0009431567,0.001927255,0.001549685,0.004941361,0.0009977373,0.002557418,0.002712205,0.001919891,0.1688462],"category_scores_gemma":[0.006003075,0.0008957052,0.001206833,0.01004022,0.0004280166,0.002228145,0.002532353,0.001898775,0.2302189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001612673,"about_ca_system_score_gemma":0.002421805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02331976,"about_ca_topic_score_gemma":0.03849462,"domain_scores_codex":[0.9989522,0.0001365038,0.0001303975,0.0003659109,0.0002356286,0.0001793069],"domain_scores_gemma":[0.9976991,0.0006366833,0.0002148295,0.0005831624,0.0006140413,0.0002522117],"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":[0.00002735889,0.00001002266,0.0003380104,0.0004928841,0.00001283662,0.00001333824,0.00002072734,0.0001066795,0.0001110608,0.0003829976,0.9970801,0.001403914],"study_design_scores_gemma":[0.00005988975,0.000007956398,0.001663616,0.0001734255,0.00001281217,0.00003231503,0.00006127597,0.0001208406,0.0001789287,0.0007450024,0.9969273,0.00001665503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004024321,0.00002637201,0.00004301487,0.00003550384,0.00001175991,0.000005271677,0.9987686,0.000355787,0.0007134096],"genre_scores_gemma":[0.0001528444,0.00003532719,0.0001965376,0.00004655676,0.000003496705,0.00004473798,0.9988058,0.0001575564,0.0005571345],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8311538,"threshold_uncertainty_score":0.564847,"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."}}