{"id":"W7082624850","doi":"10.15468/dl.e8qjsh","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data set","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":[],"consensus_categories":[],"category_scores_codex":[0.0009749538,0.002128708,0.001550062,0.0048106,0.001013844,0.002428981,0.002982609,0.002217239,0.1160304],"category_scores_gemma":[0.005610244,0.0008876096,0.001266474,0.008948136,0.0004767696,0.002284486,0.002362723,0.002063486,0.1802661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656145,"about_ca_system_score_gemma":0.002244741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02164215,"about_ca_topic_score_gemma":0.03664986,"domain_scores_codex":[0.9989164,0.000152438,0.0001418699,0.0003709822,0.0002480979,0.000170366],"domain_scores_gemma":[0.9978067,0.0005809232,0.0001997697,0.0006110708,0.0005387212,0.0002629115],"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":[0.00003357372,0.00001467054,0.0004150199,0.0005240513,0.00001557833,0.00001767908,0.00002255112,0.0001552305,0.0001197935,0.0003688739,0.9969019,0.001411132],"study_design_scores_gemma":[0.00009225144,0.00001068664,0.002087504,0.0001844477,0.00001557749,0.00005110584,0.00007894132,0.0002395343,0.0002253997,0.0008107934,0.9961851,0.00001861817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006377555,0.00003741916,0.00005356593,0.00004376888,0.00001408336,0.000007013788,0.9986175,0.0004898137,0.0006731279],"genre_scores_gemma":[0.0001783963,0.00003268585,0.0001905672,0.00004491177,0.000003323407,0.00003812655,0.9990079,0.0001099024,0.0003941871],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1160304,"threshold_uncertainty_score":0.3881603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157351333310382,"score_gpt":0.260991792687972,"score_spread":0.2394182793548681,"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."}}