{"id":"W7108737681","doi":"10.15468/dl.d9a95t","title":"Occurrence Download","year":2025,"lang":"","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); Metadata","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":[0.001046543,0.001746679,0.001530584,0.0049765,0.0009701466,0.002604826,0.002729344,0.001949231,0.174624],"category_scores_gemma":[0.006497823,0.0009051264,0.001042039,0.009627244,0.0004480025,0.002334601,0.002485049,0.001973878,0.2281964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630282,"about_ca_system_score_gemma":0.002339626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02259267,"about_ca_topic_score_gemma":0.03696128,"domain_scores_codex":[0.9989484,0.000139505,0.00013716,0.0003653283,0.0002390438,0.000170601],"domain_scores_gemma":[0.9972271,0.0007834526,0.0002779344,0.0007209085,0.0006723875,0.0003182079],"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":[0.00002638929,0.00001013948,0.0003645737,0.0004699516,0.00001333559,0.0000127422,0.00002239286,0.0001078055,0.00009544137,0.0003670387,0.9971732,0.001337063],"study_design_scores_gemma":[0.00006571765,0.000007053362,0.001949338,0.0001902419,0.00001352153,0.00003169308,0.00007361494,0.0001328748,0.0001675656,0.0007374177,0.9966146,0.00001628437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000347042,0.000019398,0.00003835881,0.00003013072,0.000009513315,0.000004258201,0.9989995,0.0002937611,0.0005704623],"genre_scores_gemma":[0.0001535683,0.00002797118,0.0001831696,0.00004153837,0.000003245575,0.00003777591,0.9989325,0.0001418554,0.0004783861],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.825376,"threshold_uncertainty_score":0.5841756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}