{"id":"W6905917626","doi":"10.15468/dl.vv7kue","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; Range (aeronautics); State (computer science); 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":[0.0009202251,0.002126603,0.001578548,0.005039331,0.001022664,0.002417402,0.002830742,0.001997584,0.1609755],"category_scores_gemma":[0.005639448,0.0009600606,0.001210093,0.01012203,0.0004580856,0.002280367,0.002661247,0.001986381,0.2203151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521028,"about_ca_system_score_gemma":0.002297043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02136394,"about_ca_topic_score_gemma":0.03660347,"domain_scores_codex":[0.9989448,0.0001402018,0.0001326523,0.0003787808,0.0002257531,0.0001777775],"domain_scores_gemma":[0.9975947,0.0006521354,0.0002312393,0.0006286234,0.0006135171,0.0002799077],"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":[0.00003268681,0.00001197624,0.0003783036,0.0005397854,0.00001425394,0.00001481268,0.00002307724,0.0001226622,0.0001273271,0.0003685339,0.9969119,0.001454761],"study_design_scores_gemma":[0.00007571976,0.000009357023,0.001820009,0.0001737009,0.00001411068,0.00003720812,0.00006707874,0.0001363227,0.000190311,0.0007625688,0.9966949,0.0000185584],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004555657,0.00002592014,0.00004252024,0.00003166663,0.00001234942,0.00000492765,0.9988216,0.0003694734,0.0006460596],"genre_scores_gemma":[0.0001451966,0.00003149698,0.0001961236,0.00004378669,0.000003324021,0.00003987162,0.9989133,0.0001510977,0.0004758495],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8390245,"threshold_uncertainty_score":0.5385166,"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."}}