{"id":"W6924468245","doi":"10.15468/dl.kzavgw","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":[0.0009771851,0.002328406,0.001672501,0.004523132,0.001012566,0.002653144,0.00313835,0.001992729,0.14454],"category_scores_gemma":[0.006141744,0.0009595325,0.001250137,0.008979677,0.0004582104,0.002410084,0.002603245,0.002037388,0.2030795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752142,"about_ca_system_score_gemma":0.002553146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02370697,"about_ca_topic_score_gemma":0.03933157,"domain_scores_codex":[0.9989723,0.0001401718,0.0001376091,0.0003658548,0.0002283281,0.0001556987],"domain_scores_gemma":[0.9978421,0.0006055014,0.0002010179,0.0005505485,0.0005402166,0.0002606184],"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":[0.00003802854,0.00001327268,0.0003769466,0.0005651913,0.00001622676,0.00001730948,0.00002406793,0.000151076,0.0001207971,0.0004511991,0.9966355,0.001590428],"study_design_scores_gemma":[0.00008604956,0.000009075647,0.001439794,0.0001735615,0.00001468061,0.00004240302,0.00006323994,0.0002146225,0.0002118239,0.0009417442,0.9967846,0.00001847971],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004975329,0.00003326557,0.00006163359,0.00003816966,0.00001125482,0.000006106522,0.9984219,0.0006519654,0.0007259058],"genre_scores_gemma":[0.0001598263,0.00003788026,0.0002506763,0.00004620862,0.000002777813,0.000035546,0.9988148,0.0002093191,0.0004429921],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.85546,"threshold_uncertainty_score":0.4835345,"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."}}