{"id":"W6905864092","doi":"10.15468/dl.pnmkzw","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); Range (aeronautics); Alien; 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":[0.0009900937,0.001920406,0.001533894,0.004559636,0.0009832624,0.002558763,0.002670247,0.002056581,0.1619232],"category_scores_gemma":[0.006212831,0.0009068123,0.001265857,0.008901648,0.0004361797,0.002310613,0.0025576,0.001946397,0.2270782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497957,"about_ca_system_score_gemma":0.00226279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02070384,"about_ca_topic_score_gemma":0.03270539,"domain_scores_codex":[0.999007,0.0001360609,0.0001217976,0.0003582398,0.0002149153,0.0001618494],"domain_scores_gemma":[0.997452,0.0007776431,0.0002233812,0.0006701666,0.0005943024,0.0002825193],"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":[0.00002698362,0.00001099324,0.0003664245,0.0004968247,0.00001368161,0.00001447461,0.00002174509,0.0001162606,0.0001063938,0.0003361585,0.9971845,0.001305666],"study_design_scores_gemma":[0.00007658425,0.000009703575,0.00201578,0.0002044012,0.0000153188,0.00003853836,0.00007825382,0.0001739457,0.0002029322,0.0007900636,0.9963762,0.00001828119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004484028,0.00002621934,0.00004420306,0.00004076851,0.00001392828,0.000005784356,0.9987798,0.0004167671,0.0006275988],"genre_scores_gemma":[0.0001693531,0.00003395856,0.0001938211,0.00005188468,0.000004126671,0.00004662268,0.9988444,0.0001568061,0.0004990834],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8380768,"threshold_uncertainty_score":0.5416871,"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."}}