{"id":"W6961935441","doi":"10.15468/dl.as45zr","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":[0.000960546,0.002355794,0.001660389,0.004482278,0.001014991,0.002594464,0.003160326,0.001998621,0.1355337],"category_scores_gemma":[0.005960068,0.0009397325,0.001267343,0.008866824,0.0004614255,0.00238547,0.002591321,0.002043755,0.1929587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710463,"about_ca_system_score_gemma":0.002538776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02330385,"about_ca_topic_score_gemma":0.03992681,"domain_scores_codex":[0.9989733,0.0001412232,0.0001373908,0.0003647012,0.0002282247,0.0001552416],"domain_scores_gemma":[0.9978918,0.0005870699,0.0001935801,0.0005416047,0.0005316035,0.0002543088],"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":[0.0000395704,0.00001420689,0.0004008908,0.0005829884,0.00001684966,0.00001835802,0.00002502127,0.0001611289,0.0001303223,0.0004659166,0.9965035,0.001641258],"study_design_scores_gemma":[0.00008580241,0.000009456534,0.001475562,0.0001744204,0.00001488034,0.00004397774,0.00006635952,0.0002245481,0.0002221192,0.0009458825,0.9967182,0.00001878387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005474302,0.00003482251,0.00006472617,0.00003861716,0.00001180388,0.000006357764,0.9983857,0.0006692595,0.000733967],"genre_scores_gemma":[0.00016145,0.00003752248,0.0002579393,0.00004485887,0.000002727142,0.00003530276,0.9988292,0.000199228,0.0004317685],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8644663,"threshold_uncertainty_score":0.4534054,"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."}}