{"id":"W6886905130","doi":"10.15468/dl.2dr4vm","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":[0.0009717062,0.002281222,0.001671385,0.004492486,0.001007596,0.002624266,0.003104641,0.001995874,0.1400579],"category_scores_gemma":[0.006142993,0.0009457888,0.001246778,0.008943456,0.0004605765,0.00238757,0.002614091,0.002011871,0.1980832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001729311,"about_ca_system_score_gemma":0.002561895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02400235,"about_ca_topic_score_gemma":0.04032582,"domain_scores_codex":[0.9989719,0.00014073,0.0001397677,0.0003639529,0.0002279775,0.0001556158],"domain_scores_gemma":[0.9978442,0.0006047461,0.00020175,0.0005503234,0.0005391968,0.0002597384],"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":[0.00003900941,0.0000129795,0.000394447,0.0005873372,0.00001683557,0.00001738343,0.00002501266,0.0001531211,0.0001233205,0.0004649631,0.9965765,0.001589015],"study_design_scores_gemma":[0.0000849694,0.000008969488,0.001438599,0.0001772991,0.00001499527,0.00004144152,0.0000643186,0.0002093109,0.0002063523,0.0009294184,0.9968058,0.00001845434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004959397,0.0000333321,0.00006061148,0.00003767345,0.00001127648,0.000006027481,0.9984629,0.000632363,0.0007063071],"genre_scores_gemma":[0.0001626208,0.0000386081,0.0002538288,0.00004681143,0.00000276537,0.00003612201,0.9988173,0.0002032428,0.0004386074],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8599421,"threshold_uncertainty_score":0.4685403,"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."}}