{"id":"W6906034786","doi":"10.15468/dl.x5pzv7","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":[0.0008745015,0.00181324,0.001544502,0.004817508,0.001032089,0.002927134,0.002701069,0.00183425,0.1958671],"category_scores_gemma":[0.00596049,0.0008991901,0.001346575,0.00969124,0.0004066917,0.002568478,0.002765148,0.001897635,0.2810225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001413185,"about_ca_system_score_gemma":0.002282933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01958796,"about_ca_topic_score_gemma":0.03162545,"domain_scores_codex":[0.9989873,0.0001231625,0.0001284723,0.0003617695,0.0002194309,0.0001798017],"domain_scores_gemma":[0.9975857,0.0006327819,0.0001967564,0.0006726215,0.000654041,0.0002580691],"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":[0.00002898812,0.000009442773,0.0004394731,0.0005231223,0.00001488861,0.00001659748,0.00002648903,0.000124112,0.0001247064,0.0003942849,0.9962916,0.002006386],"study_design_scores_gemma":[0.00004917806,0.000006554361,0.001654757,0.0001563694,0.00001219465,0.00003427107,0.00007571402,0.0001591433,0.000174744,0.0007719715,0.9968893,0.00001587264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004727334,0.00003088413,0.00006688861,0.00004239309,0.00001677799,0.0000059274,0.9982241,0.0006741029,0.0008917234],"genre_scores_gemma":[0.000198754,0.0000423739,0.0002753697,0.00005377656,0.00000493135,0.00004457919,0.9984643,0.0002574821,0.0006583497],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8041329,"threshold_uncertainty_score":0.6552408,"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."}}