{"id":"W6943328339","doi":"10.15468/dl.nt8anq","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":[0.0008816314,0.001856343,0.001549116,0.004954745,0.001046861,0.002895041,0.002672354,0.001838475,0.1893123],"category_scores_gemma":[0.006011665,0.0008990489,0.001372249,0.009843691,0.0004052818,0.002576768,0.002777612,0.001913792,0.2763475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431444,"about_ca_system_score_gemma":0.002347739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02011185,"about_ca_topic_score_gemma":0.03249975,"domain_scores_codex":[0.9989196,0.0001305976,0.0001370768,0.0003871809,0.0002354693,0.0001901676],"domain_scores_gemma":[0.9975476,0.0006414072,0.0002024211,0.0006859656,0.0006634445,0.0002591689],"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":[0.00003025811,0.000009816385,0.0004618092,0.0005238271,0.00001525937,0.00001683576,0.00002693307,0.0001278415,0.0001257876,0.0003955989,0.9961947,0.002071262],"study_design_scores_gemma":[0.00004838681,0.000006776897,0.001680254,0.0001574203,0.00001246369,0.00003505378,0.00007688336,0.0001608487,0.0001770713,0.0007578851,0.9968709,0.00001601346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004981812,0.00003198666,0.00006865439,0.00004289057,0.00001752174,0.000005884231,0.998233,0.0006726986,0.0008774832],"genre_scores_gemma":[0.0001971309,0.00004278395,0.0002750364,0.0000530679,0.000004876502,0.00004317139,0.9984835,0.0002475166,0.0006529758],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8106877,"threshold_uncertainty_score":0.6333126,"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."}}