{"id":"W6887088117","doi":"10.15468/dl.rcherq","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; The Internet","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":[0.0009517632,0.001938147,0.0015341,0.004525116,0.001020094,0.002510685,0.002722816,0.002123505,0.1576576],"category_scores_gemma":[0.00576441,0.0009078152,0.001277392,0.008613679,0.0004425369,0.002384901,0.002542414,0.002005726,0.2210793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499247,"about_ca_system_score_gemma":0.002239216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02061484,"about_ca_topic_score_gemma":0.03405764,"domain_scores_codex":[0.9990214,0.0001384362,0.0001186667,0.0003516311,0.0002099722,0.0001599821],"domain_scores_gemma":[0.9975554,0.0007135865,0.0002092614,0.0006744446,0.0005741607,0.0002731642],"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":[0.00002936929,0.00001261924,0.00037149,0.00052406,0.00001394568,0.0000153561,0.0000230072,0.0001305753,0.0001220674,0.0003550453,0.9969427,0.001459599],"study_design_scores_gemma":[0.00007393694,0.000009832476,0.001950015,0.0001947351,0.00001430995,0.00003893975,0.00007717728,0.0001758515,0.0002044442,0.0007736383,0.9964689,0.00001819031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005245283,0.00002999463,0.00005185464,0.000044094,0.00001504831,0.00000648824,0.9986213,0.0004859187,0.0006927535],"genre_scores_gemma":[0.0001774334,0.00003514045,0.0002176435,0.00005109464,0.000003962091,0.00004658711,0.9988079,0.0001619417,0.0004981977],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8423424,"threshold_uncertainty_score":0.5274172,"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."}}