{"id":"W6943077624","doi":"10.15468/dl.7f7z66","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; State (computer science); Matching (statistics); Range (aeronautics); The Republic","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":[0.0007361019,0.003131114,0.002171445,0.006438581,0.001196156,0.003220412,0.002297123,0.002693373,0.2594124],"category_scores_gemma":[0.005282276,0.0009578345,0.001986193,0.00900513,0.0003894067,0.003221544,0.003081213,0.001967346,0.3186809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00142675,"about_ca_system_score_gemma":0.002473152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02549749,"about_ca_topic_score_gemma":0.0414203,"domain_scores_codex":[0.9989453,0.0001269184,0.0001460394,0.00036136,0.0002215337,0.0001989468],"domain_scores_gemma":[0.9978618,0.0006469009,0.0001615358,0.0005156511,0.0005029059,0.0003112018],"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":[0.00006185655,0.00002462847,0.0003850579,0.0006107282,0.00001827636,0.00002905851,0.00002685592,0.0002010801,0.0001193218,0.0003316806,0.9945099,0.00368148],"study_design_scores_gemma":[0.000134445,0.00002233463,0.001805014,0.0002232864,0.00002537371,0.0000765298,0.0001100073,0.0006730074,0.0002379309,0.001387115,0.9952711,0.00003383411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009621472,0.00007795339,0.0001154875,0.00006610887,0.000032284,0.00001401242,0.9959066,0.001964241,0.001727166],"genre_scores_gemma":[0.000337286,0.0000822923,0.000603738,0.0001091058,0.00001026518,0.00005738474,0.9973415,0.000354311,0.001104168],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7405876,"threshold_uncertainty_score":0.8678209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}