{"id":"W6943277484","doi":"10.15468/dl.sx6y2p","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); State (computer science)","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":[0.001020581,0.00192524,0.001515944,0.005058782,0.001027495,0.002735934,0.002825734,0.002099747,0.1883888],"category_scores_gemma":[0.006497894,0.0009300449,0.001241391,0.009509084,0.0004448896,0.002559575,0.002716313,0.002080744,0.2524487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569568,"about_ca_system_score_gemma":0.002271297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01880356,"about_ca_topic_score_gemma":0.03075294,"domain_scores_codex":[0.998919,0.0001534097,0.0001372075,0.0003883391,0.0002283643,0.00017366],"domain_scores_gemma":[0.9973024,0.0008071819,0.0002345321,0.0007242324,0.0006355835,0.0002959658],"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":[0.00002440125,0.00001057817,0.0003162782,0.0004868204,0.00001241646,0.00001284298,0.00002054895,0.0001011844,0.00009433283,0.0003342706,0.9972052,0.001381117],"study_design_scores_gemma":[0.00006586094,0.000008079395,0.001674839,0.0001953447,0.00001330577,0.00003518799,0.0000716802,0.0001451252,0.0001655911,0.0007703229,0.9968379,0.00001683505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003798015,0.00002668204,0.00004687383,0.00004276381,0.00001421285,0.000005951007,0.9987838,0.0003868865,0.0006547691],"genre_scores_gemma":[0.0001491058,0.00003606203,0.0002103818,0.00005586644,0.000004226197,0.0000504423,0.9987653,0.000165235,0.0005633162],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8116112,"threshold_uncertainty_score":0.6302234,"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."}}