{"id":"W7115565744","doi":"10.15468/dl.spahw6","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); Type (biology)","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":[0.0008957834,0.001876996,0.001566796,0.005431406,0.0009806158,0.002638075,0.002479162,0.002041542,0.144676],"category_scores_gemma":[0.006278066,0.0008509698,0.001388231,0.0108156,0.0004082863,0.002360891,0.002438558,0.001955732,0.206074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167387,"about_ca_system_score_gemma":0.002409005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02332116,"about_ca_topic_score_gemma":0.03521513,"domain_scores_codex":[0.9988681,0.0001367143,0.0001560615,0.0003859742,0.0002548476,0.0001982733],"domain_scores_gemma":[0.9973074,0.0007330509,0.0002521129,0.0006672965,0.0007434736,0.0002965522],"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":[0.00003732232,0.00001283086,0.0005921461,0.0006647656,0.0000184076,0.00001801246,0.00002443201,0.00018172,0.0001269351,0.0003938679,0.995867,0.002062438],"study_design_scores_gemma":[0.00007815688,0.00001129828,0.002508791,0.0002429443,0.00001606733,0.00004104008,0.00008869419,0.0002273622,0.0001728225,0.0007507097,0.9958435,0.00001873852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004655078,0.0000305316,0.0000386116,0.00003853138,0.00001485234,0.000004975949,0.9989127,0.0003639018,0.0005493783],"genre_scores_gemma":[0.0001638304,0.0000405086,0.0001901045,0.0000448011,0.000004262072,0.00003508948,0.9989765,0.0001072798,0.0004377422],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.855324,"threshold_uncertainty_score":0.4839893,"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."}}