{"id":"W6905688224","doi":"10.15468/dl.kvs4h2","title":"Occurrence Download","year":2022,"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":[0.0009381004,0.001874681,0.001578298,0.0050522,0.001075498,0.00309088,0.002759493,0.001858384,0.2043933],"category_scores_gemma":[0.006377231,0.00092864,0.001356436,0.009986611,0.0004173371,0.002647901,0.002857533,0.001928331,0.290464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450985,"about_ca_system_score_gemma":0.002341219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02043719,"about_ca_topic_score_gemma":0.03240541,"domain_scores_codex":[0.9989028,0.0001338878,0.000137934,0.0003936898,0.0002364764,0.0001952417],"domain_scores_gemma":[0.9974707,0.0006598294,0.0002070028,0.0007023931,0.000696437,0.0002635587],"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":[0.00002827316,0.000009079174,0.0004073229,0.000512565,0.00001445047,0.00001588515,0.00002583125,0.0001162786,0.0001171459,0.000392917,0.9964654,0.001894878],"study_design_scores_gemma":[0.00004844995,0.000006457806,0.001523279,0.0001570302,0.00001191659,0.00003266154,0.00007561126,0.0001469888,0.0001652794,0.0007524258,0.9970643,0.00001562334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004404777,0.00003034984,0.00006578388,0.00004431465,0.00001771982,0.000006034518,0.9982281,0.0006560804,0.0009074924],"genre_scores_gemma":[0.0001894177,0.00004188413,0.0002645359,0.00005531015,0.000005194449,0.00004487648,0.9984573,0.0002609217,0.0006805192],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7956067,"threshold_uncertainty_score":0.6837635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}