{"id":"W7105217181","doi":"10.15468/dl.cdcyuh","title":"Occurrence Download","year":2025,"lang":"","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); State (computer science)","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":[0.0009078212,0.001780188,0.001514001,0.00457608,0.0008972001,0.002363111,0.002452973,0.001839649,0.1652387],"category_scores_gemma":[0.00573515,0.0008292185,0.001120181,0.008932731,0.0004165028,0.002147044,0.002368528,0.001788753,0.2107184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502163,"about_ca_system_score_gemma":0.002220573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02500647,"about_ca_topic_score_gemma":0.03770589,"domain_scores_codex":[0.9990731,0.0001210999,0.0001145565,0.0003176116,0.0002200214,0.0001535937],"domain_scores_gemma":[0.9976315,0.0006849957,0.0002290336,0.0005925043,0.0005829719,0.0002789483],"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":[0.0000276413,0.00001054827,0.0003906458,0.0004705706,0.00001407479,0.00001429667,0.00002261709,0.0001392714,0.0001098895,0.0003403175,0.9969837,0.001476442],"study_design_scores_gemma":[0.00007841387,0.00000965576,0.002369169,0.000195474,0.00001503363,0.00003762956,0.00008130233,0.0002142154,0.0002032352,0.0008318493,0.9959453,0.00001871647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004472107,0.00002380545,0.00004603145,0.00003701025,0.00001153244,0.000005229713,0.9987558,0.0004690321,0.0006067823],"genre_scores_gemma":[0.000182445,0.00002915614,0.0002027446,0.00004634287,0.000003610713,0.00003712188,0.9988788,0.0001613475,0.0004583432],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8347613,"threshold_uncertainty_score":0.5527787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}