{"id":"W6905768264","doi":"10.15468/dl.kgyp8c","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":[0.000892176,0.001882821,0.001524653,0.004715851,0.001049079,0.002904704,0.002731399,0.001870755,0.1921336],"category_scores_gemma":[0.005926891,0.0009189993,0.001399621,0.00939974,0.0004120556,0.002602793,0.002814346,0.001945468,0.2845876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461644,"about_ca_system_score_gemma":0.002314849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02043762,"about_ca_topic_score_gemma":0.03243496,"domain_scores_codex":[0.9989606,0.0001254486,0.0001314101,0.0003702499,0.0002253811,0.0001868769],"domain_scores_gemma":[0.9976102,0.0006070271,0.0001930635,0.0006791263,0.0006548266,0.000255873],"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":[0.00002890615,0.000009464624,0.000406039,0.0004890932,0.00001412888,0.00001565346,0.0000250487,0.0001143327,0.0001226626,0.0003765556,0.9965013,0.001896798],"study_design_scores_gemma":[0.00004984901,0.00000646609,0.001548457,0.0001507631,0.00001158191,0.0000326111,0.00007258385,0.0001492385,0.0001758059,0.0007397053,0.9970475,0.0000153855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004666893,0.00003108975,0.00006690437,0.00004473689,0.00001790446,0.000006165444,0.9981794,0.0007059239,0.0009011355],"genre_scores_gemma":[0.0001878458,0.00004159622,0.0002714099,0.00005521157,0.000004998375,0.00004410026,0.9984757,0.0002621949,0.000656948],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8078663,"threshold_uncertainty_score":0.642751,"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."}}