{"id":"W6887354033","doi":"10.15468/dl.wsquvj","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":[0.0009793139,0.002278057,0.001676547,0.004491844,0.0009976731,0.002647972,0.003135107,0.001996456,0.1434721],"category_scores_gemma":[0.006193189,0.0009542284,0.001246529,0.008907181,0.0004634002,0.002385894,0.002635127,0.002011657,0.1982221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00173227,"about_ca_system_score_gemma":0.002542082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02383538,"about_ca_topic_score_gemma":0.04006241,"domain_scores_codex":[0.998987,0.0001383838,0.0001368921,0.000361931,0.0002219374,0.0001537949],"domain_scores_gemma":[0.9978451,0.0006143092,0.0002022735,0.0005509548,0.0005305833,0.0002569293],"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":[0.0000392711,0.00001296455,0.0003982554,0.0006070256,0.00001725789,0.00001779378,0.0000256025,0.0001588986,0.0001245027,0.0004719648,0.9965175,0.001608848],"study_design_scores_gemma":[0.00008629777,0.000008996011,0.00144586,0.0001825571,0.00001529134,0.00004160725,0.00006523846,0.0002131355,0.0002051644,0.0009635107,0.9967536,0.00001865098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000048282,0.00003240805,0.00006094333,0.00003724424,0.00001097724,0.000006014224,0.9984774,0.0006328521,0.0006938559],"genre_scores_gemma":[0.0001672612,0.00003909801,0.0002606488,0.00004801241,0.000002824708,0.00003763219,0.9987895,0.0002119573,0.0004430482],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8565279,"threshold_uncertainty_score":0.479962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0089153214616674,"score_gpt":0.2136767702076688,"score_spread":0.2047614487460014,"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."}}