{"id":"W6905804565","doi":"10.15468/dl.z2v6bp","title":"Occurrence Download","year":2022,"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; Alien; Range (aeronautics); Identification (biology)","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":[0.0009146794,0.0020274,0.001491794,0.004649658,0.0009161776,0.00240465,0.002560568,0.001900179,0.164869],"category_scores_gemma":[0.005902051,0.0008997126,0.001202113,0.009211002,0.0004180719,0.002163069,0.002433958,0.001787903,0.2164257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446041,"about_ca_system_score_gemma":0.002241369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01934551,"about_ca_topic_score_gemma":0.03148694,"domain_scores_codex":[0.9989915,0.000135639,0.0001286467,0.0003683911,0.0002068265,0.0001689259],"domain_scores_gemma":[0.9976208,0.0007064141,0.0002267528,0.0006022461,0.0005720541,0.0002717755],"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":[0.00003278696,0.00001172798,0.0004051462,0.0005293832,0.00001480581,0.00001434333,0.00001985935,0.0001358575,0.0001216044,0.0003464533,0.9969054,0.001462674],"study_design_scores_gemma":[0.00008371522,0.00001145695,0.001989946,0.0001907396,0.00001648796,0.00003951408,0.00006550405,0.000174458,0.0002133663,0.0008342731,0.9963612,0.00001936625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004635226,0.00002597772,0.00004085825,0.00003366675,0.00001231608,0.000004944901,0.9988592,0.0003743691,0.0006024812],"genre_scores_gemma":[0.0001671167,0.0000335542,0.000189268,0.0000478992,0.000003608923,0.0000401611,0.9988901,0.0001482477,0.000480159],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.835131,"threshold_uncertainty_score":0.5515417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}