{"id":"W6906089030","doi":"10.15468/dl.tkmhpt","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":[0.0009915697,0.00197989,0.001613721,0.005269263,0.0009979397,0.002716281,0.00270175,0.002096007,0.1657731],"category_scores_gemma":[0.006713666,0.000883899,0.00128032,0.009703192,0.0004354409,0.002399832,0.002587008,0.001930196,0.2285148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159049,"about_ca_system_score_gemma":0.002315755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02152616,"about_ca_topic_score_gemma":0.03205983,"domain_scores_codex":[0.9989549,0.0001448652,0.00013067,0.0003688207,0.0002286988,0.0001721682],"domain_scores_gemma":[0.9972579,0.0008495576,0.0002370752,0.0007034491,0.0006612806,0.0002906943],"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":[0.00002930774,0.0000112906,0.0004151604,0.0005821066,0.00001473259,0.00001605987,0.00002366003,0.0001277298,0.0001095789,0.0003430428,0.9968184,0.001508802],"study_design_scores_gemma":[0.00007146004,0.00000952904,0.00199011,0.0002264576,0.00001558954,0.00003857068,0.00008149179,0.0001770065,0.0001844681,0.0007739837,0.9964133,0.00001804821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004434834,0.00002981052,0.00004311497,0.00004072909,0.00001276455,0.000005844751,0.9987823,0.0004337438,0.0006073907],"genre_scores_gemma":[0.0001801814,0.00003907625,0.0001995311,0.00005129222,0.0000041141,0.00004892887,0.998828,0.0001652714,0.0004835701],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8342269,"threshold_uncertainty_score":0.5545663,"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."}}