{"id":"W6962185261","doi":"10.15468/dl.w42a9w","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); 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":[0.001059237,0.002021377,0.001656694,0.00499015,0.001071195,0.002731177,0.002812859,0.002211581,0.1659381],"category_scores_gemma":[0.006480442,0.0009270621,0.00129866,0.009477285,0.0004625917,0.002379522,0.002645959,0.00207298,0.2310264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625972,"about_ca_system_score_gemma":0.002426734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02195874,"about_ca_topic_score_gemma":0.03286719,"domain_scores_codex":[0.9989428,0.0001464939,0.0001316026,0.0003750839,0.0002292109,0.0001747948],"domain_scores_gemma":[0.9973393,0.0008064134,0.0002280621,0.0006853151,0.0006527347,0.0002881826],"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":[0.00002981938,0.00001201675,0.0003864443,0.000578895,0.00001471057,0.0000157189,0.00002315273,0.0001245578,0.0001183161,0.0003590073,0.9969331,0.001404192],"study_design_scores_gemma":[0.00008031063,0.000009826476,0.001957429,0.0002303218,0.00001625244,0.00003856055,0.0000801806,0.0001765699,0.0002065781,0.0008229178,0.9963616,0.00001954269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004234862,0.00002847909,0.0000446011,0.00004030746,0.00001300087,0.000006002029,0.998795,0.0004172441,0.000612924],"genre_scores_gemma":[0.0001663909,0.00003614138,0.0001986334,0.00005119569,0.000003852904,0.00004910027,0.9988707,0.0001617049,0.0004623234],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8340619,"threshold_uncertainty_score":0.5551183,"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."}}