{"id":"W6886952837","doi":"10.15468/dl.6f9g6z","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":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type)","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":[0.0009289409,0.002328416,0.001685747,0.004165156,0.001135819,0.002680509,0.003417575,0.002360055,0.1417917],"category_scores_gemma":[0.005757948,0.0009704753,0.001363086,0.007893198,0.0004925665,0.002589656,0.002732068,0.002333707,0.2100803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001729122,"about_ca_system_score_gemma":0.00246627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02430838,"about_ca_topic_score_gemma":0.04244899,"domain_scores_codex":[0.9990337,0.0001293255,0.0001178099,0.0003495933,0.0002166203,0.0001530021],"domain_scores_gemma":[0.9979348,0.0005734918,0.0001729015,0.0005827914,0.0004855081,0.0002506115],"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":[0.00003446425,0.00001376525,0.0003320556,0.0004770895,0.00001454332,0.00001806763,0.00002267921,0.0001454744,0.0001074223,0.0004067662,0.9970624,0.00136526],"study_design_scores_gemma":[0.00009996989,0.000009486183,0.001561241,0.0001733171,0.000014405,0.00004851006,0.00007266919,0.0002676698,0.0002188845,0.001058894,0.9964544,0.00002050696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005371402,0.00003335103,0.00006481107,0.00004918196,0.00001342422,0.000007215934,0.998288,0.0007492343,0.0007410111],"genre_scores_gemma":[0.0001656361,0.00003310466,0.0002518995,0.00005111132,0.000003140353,0.00003965912,0.9988311,0.0001928,0.0004314857],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8582084,"threshold_uncertainty_score":0.4743403,"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."}}