{"id":"W6905876958","doi":"10.15468/dl.z3yncz","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":"Download; Matching (statistics); Alien; Range (aeronautics)","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":[0.0009400796,0.002055557,0.001500151,0.004942305,0.0009773038,0.002424465,0.00261963,0.001960791,0.1565288],"category_scores_gemma":[0.005961495,0.0008781629,0.00119117,0.009850656,0.0004593467,0.002068723,0.002510815,0.001785914,0.2145003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470575,"about_ca_system_score_gemma":0.002326302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02110899,"about_ca_topic_score_gemma":0.03394086,"domain_scores_codex":[0.9989719,0.0001406134,0.0001297855,0.0003651759,0.0002147807,0.0001776803],"domain_scores_gemma":[0.9975948,0.0006923365,0.000232715,0.0006123887,0.0005968715,0.0002709189],"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":[0.00003475022,0.00001280273,0.0004473222,0.0005669856,0.00001453398,0.00001551679,0.00002352475,0.0001395554,0.0001361311,0.0003741736,0.9967437,0.001491028],"study_design_scores_gemma":[0.000082756,0.00001172009,0.002048017,0.0001976103,0.00001573636,0.00003796568,0.00007404608,0.0001643307,0.0002104592,0.0008151344,0.9963231,0.00001928622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004988558,0.00002697135,0.00003849602,0.00003356392,0.00001229713,0.000005190177,0.9988433,0.000368939,0.0006214533],"genre_scores_gemma":[0.0001719972,0.00003354975,0.0001896121,0.00004569951,0.000003727284,0.0000421809,0.9989092,0.0001416325,0.000462418],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8434712,"threshold_uncertainty_score":0.5236409,"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."}}