{"id":"W6943649509","doi":"10.15468/dl.wgm32p","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); 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":[0.0009958764,0.0018947,0.00157613,0.005177428,0.001021427,0.002624325,0.00275565,0.002017868,0.176864],"category_scores_gemma":[0.006181977,0.000906479,0.001208189,0.009728039,0.0004563374,0.00225928,0.002588486,0.00200182,0.2342838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540525,"about_ca_system_score_gemma":0.002346721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02133743,"about_ca_topic_score_gemma":0.03370161,"domain_scores_codex":[0.9990188,0.0001365056,0.0001214583,0.0003477824,0.0002116087,0.000163826],"domain_scores_gemma":[0.9974953,0.0007650764,0.0002186381,0.000641981,0.0006042142,0.0002747611],"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":[0.00002602122,0.00001127675,0.0003806654,0.0005575682,0.00001430581,0.00001439876,0.00002527981,0.000117846,0.0001133343,0.0003605506,0.9969552,0.001423537],"study_design_scores_gemma":[0.00006927908,0.000008402207,0.001920814,0.0002154082,0.00001520886,0.00003581133,0.00008235988,0.0001455191,0.0001802775,0.0007767618,0.9965321,0.00001802779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003953855,0.00002673224,0.00004288424,0.0000365424,0.00001268692,0.000005563551,0.9988809,0.0003492629,0.0006059333],"genre_scores_gemma":[0.0001616724,0.00003672473,0.0002025006,0.00004883086,0.00000383516,0.00005064959,0.9988152,0.000159785,0.0005207416],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.823136,"threshold_uncertainty_score":0.5916691,"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."}}