{"id":"W6943230666","doi":"10.15468/dl.h92ytc","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":[0.0009583694,0.002321725,0.001653931,0.004453985,0.001010055,0.002606579,0.003124978,0.00196052,0.1399297],"category_scores_gemma":[0.005931204,0.000952783,0.001244341,0.008880168,0.0004580749,0.002387978,0.002590898,0.00203328,0.1975515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722826,"about_ca_system_score_gemma":0.002531899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02386773,"about_ca_topic_score_gemma":0.04004892,"domain_scores_codex":[0.9989846,0.0001369447,0.0001357089,0.0003612512,0.0002261808,0.0001552029],"domain_scores_gemma":[0.9979041,0.0005764394,0.0001940266,0.0005401489,0.0005300193,0.0002553557],"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":[0.0000381452,0.00001343887,0.0003904278,0.0005554559,0.00001641016,0.00001762396,0.00002449675,0.0001539583,0.0001248437,0.0004615916,0.9966097,0.001593896],"study_design_scores_gemma":[0.00008413249,0.000008893007,0.001462694,0.0001681629,0.00001457474,0.00004272003,0.0000647442,0.0002155078,0.0002169577,0.000936617,0.9967666,0.00001835208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000516753,0.00003262114,0.00006303428,0.00003757242,0.00001132253,0.000006107223,0.9984109,0.0006546226,0.0007321019],"genre_scores_gemma":[0.0001602589,0.00003675329,0.0002534626,0.00004470268,0.000002726813,0.00003460326,0.9988249,0.000205792,0.0004367233],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8600703,"threshold_uncertainty_score":0.4681114,"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."}}