{"id":"W6905959877","doi":"10.15468/dl.tu4b67","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","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":[0.0009853533,0.001973059,0.001548436,0.004675496,0.001011003,0.002552239,0.002690045,0.002116474,0.1533342],"category_scores_gemma":[0.006061419,0.000896862,0.001290447,0.008875428,0.0004546939,0.002353349,0.002579036,0.002001976,0.2133976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475813,"about_ca_system_score_gemma":0.002221906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02000147,"about_ca_topic_score_gemma":0.03267023,"domain_scores_codex":[0.998991,0.0001415308,0.0001275807,0.0003568378,0.0002190231,0.0001641561],"domain_scores_gemma":[0.9974265,0.0007850364,0.000226128,0.0006896486,0.0005846187,0.0002880297],"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":[0.00002917233,0.00001273687,0.0004047831,0.0005531611,0.00001491435,0.00001596932,0.00002430068,0.0001346276,0.0001232298,0.0003411909,0.996903,0.001442979],"study_design_scores_gemma":[0.00007944911,0.00001063809,0.002145741,0.0002135987,0.00001598956,0.00004266831,0.00008328046,0.000183576,0.0002084315,0.000777923,0.9962198,0.00001890697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005267841,0.00003223811,0.00004946881,0.00004414532,0.00001543858,0.000006326924,0.9987022,0.0004543567,0.0006430762],"genre_scores_gemma":[0.0001781117,0.00003770774,0.0002102158,0.00005252851,0.000004167485,0.00004657328,0.9988306,0.00015553,0.0004846834],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8466657,"threshold_uncertainty_score":0.5129541,"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."}}