{"id":"W6905978446","doi":"10.15468/dl.vgm49s","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); Data set; Confidentiality","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":[0.001096876,0.001962683,0.00168218,0.005176981,0.001064796,0.002739495,0.002958887,0.00218395,0.1692814],"category_scores_gemma":[0.006225855,0.0009723855,0.00117619,0.0100425,0.0004642119,0.002557684,0.002708203,0.002105171,0.2254374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618688,"about_ca_system_score_gemma":0.002373089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01979536,"about_ca_topic_score_gemma":0.0337368,"domain_scores_codex":[0.9988757,0.0001585853,0.0001472467,0.0003912113,0.0002428644,0.0001843152],"domain_scores_gemma":[0.9973508,0.0007627553,0.0002463364,0.0006924788,0.0006463599,0.0003013172],"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":[0.0000276828,0.00001224598,0.0003603399,0.000571816,0.00001411162,0.00001436296,0.00002312369,0.0001136371,0.0001108798,0.0003810538,0.9970614,0.00130926],"study_design_scores_gemma":[0.00007238648,0.000008117774,0.001730445,0.0002037484,0.00001368778,0.00003549379,0.00007664656,0.0001301694,0.0001712889,0.0007584511,0.9967819,0.00001762005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004004958,0.00002727071,0.00004365859,0.00003554757,0.00001231315,0.000005493455,0.9988816,0.0003212302,0.0006328409],"genre_scores_gemma":[0.0001541153,0.00003457152,0.0001958107,0.00004583119,0.000003561375,0.00004497531,0.9989045,0.0001386842,0.0004779403],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8307186,"threshold_uncertainty_score":0.5663025,"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."}}