{"id":"W6924634398","doi":"10.15468/dl.skrd6p","title":"Occurrence Download","year":2023,"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":[0.0009247481,0.001882221,0.001542067,0.004700052,0.001050714,0.002934074,0.002786445,0.001882624,0.1920379],"category_scores_gemma":[0.006135158,0.0009210311,0.001402362,0.009406363,0.0004117179,0.002600474,0.002801545,0.001937273,0.2879062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464574,"about_ca_system_score_gemma":0.002334422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02069584,"about_ca_topic_score_gemma":0.03262712,"domain_scores_codex":[0.9989358,0.0001313296,0.0001346378,0.0003801516,0.0002306242,0.0001873803],"domain_scores_gemma":[0.9975615,0.0006238981,0.0001933235,0.0006975502,0.0006704055,0.0002532943],"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":[0.00002835852,0.000009250088,0.0004043552,0.0004903933,0.00001410808,0.0000152996,0.00002430567,0.0001153615,0.0001174383,0.0003679569,0.9965318,0.001881288],"study_design_scores_gemma":[0.00004962234,0.00000658067,0.001570287,0.0001557096,0.0000118861,0.00003266972,0.00007196209,0.0001590954,0.0001740093,0.0007611144,0.9969915,0.00001562735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004547086,0.00003098275,0.00006728751,0.00004442448,0.00001745965,0.000006218637,0.9981926,0.0007034375,0.0008921112],"genre_scores_gemma":[0.0001875066,0.00004157535,0.0002682785,0.00005558327,0.000004918258,0.00004563978,0.9984859,0.0002596626,0.0006509979],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8079621,"threshold_uncertainty_score":0.6424308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}