{"id":"W6906080795","doi":"10.15468/dl.r7a3dz","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009037077,0.00183436,0.001517588,0.004869915,0.001027314,0.002886765,0.002724339,0.001816085,0.1864504],"category_scores_gemma":[0.006057777,0.0008980437,0.001349062,0.009663817,0.0004151392,0.002592473,0.002756651,0.001836977,0.2711922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461176,"about_ca_system_score_gemma":0.00232877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02090275,"about_ca_topic_score_gemma":0.03316985,"domain_scores_codex":[0.9989313,0.0001301749,0.000139305,0.0003775342,0.0002349572,0.000186665],"domain_scores_gemma":[0.9976195,0.000598216,0.0001988809,0.0006794704,0.0006536697,0.0002503307],"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":[0.00002847522,0.000009335661,0.0004521912,0.0005249681,0.0000151305,0.00001614584,0.00002618638,0.0001330429,0.0001237438,0.0003923452,0.9961984,0.002079972],"study_design_scores_gemma":[0.00004668564,0.000006720978,0.001672177,0.0001608509,0.00001221603,0.00003378471,0.000075827,0.000161304,0.0001713287,0.0007287596,0.9969146,0.00001573138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005039067,0.00003442833,0.00006943793,0.00004408569,0.00001819943,0.000006023498,0.9982199,0.0006746397,0.0008828253],"genre_scores_gemma":[0.0001987922,0.00004300393,0.0002684628,0.00005255387,0.000004855256,0.00004141173,0.9985146,0.0002272596,0.0006491013],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8135496,"threshold_uncertainty_score":0.6237387,"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."}}