{"id":"W7111058095","doi":"10.15468/dl.dzwv6g","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); Data set; Order (exchange)","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":[0.0009607761,0.001684339,0.0014669,0.005053507,0.0009281107,0.002495531,0.002666153,0.001933848,0.1644278],"category_scores_gemma":[0.00595973,0.0008340409,0.001053569,0.00971004,0.0004304674,0.002294854,0.002438223,0.001802528,0.2018617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594428,"about_ca_system_score_gemma":0.002369304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02203542,"about_ca_topic_score_gemma":0.03469984,"domain_scores_codex":[0.998989,0.0001253529,0.0001378753,0.0003459771,0.0002282756,0.0001733842],"domain_scores_gemma":[0.9976414,0.0006363697,0.00024625,0.0006010255,0.0005806691,0.0002941737],"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":[0.00002898306,0.00001013484,0.0003912349,0.000516945,0.00001376168,0.00001322142,0.00002171785,0.0001170946,0.0001060847,0.0003649864,0.9969311,0.001484715],"study_design_scores_gemma":[0.00007096691,0.000008247862,0.002186988,0.0002009425,0.00001413059,0.00003498506,0.00007811365,0.0001478371,0.0001831313,0.0007007911,0.9963573,0.00001651914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003875249,0.00002283477,0.00003688321,0.00003109609,0.0000107084,0.000004665128,0.9989869,0.0002997353,0.0005683969],"genre_scores_gemma":[0.0001716331,0.00002991241,0.0001773597,0.00004112674,0.000003414191,0.00003548201,0.998966,0.0001168521,0.0004583091],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8355722,"threshold_uncertainty_score":0.5500659,"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."}}