{"id":"W6906053116","doi":"10.15468/dl.t3rjnt","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); Order (exchange); Set (abstract data type)","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":[0.001118354,0.001915904,0.001576307,0.005130053,0.001018768,0.002659152,0.002776158,0.00197684,0.1658714],"category_scores_gemma":[0.006532119,0.000956288,0.001119674,0.01013692,0.000455872,0.002248901,0.002599631,0.00203558,0.2232459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604126,"about_ca_system_score_gemma":0.002421008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02255005,"about_ca_topic_score_gemma":0.03652229,"domain_scores_codex":[0.9989011,0.000148032,0.0001419435,0.0003815054,0.0002524366,0.000174965],"domain_scores_gemma":[0.9972421,0.0008153158,0.00025719,0.0007177789,0.0006606672,0.0003070415],"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":[0.00002650626,0.00001077072,0.0003750621,0.0005032968,0.00001428974,0.00001419713,0.00002537317,0.000118032,0.0001144643,0.0003939117,0.9970397,0.001364393],"study_design_scores_gemma":[0.00006504642,0.000007202355,0.001870905,0.0001868478,0.00001400065,0.00003585818,0.00007467067,0.0001346281,0.0001815483,0.0007100891,0.9967021,0.0000172205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003863726,0.00002314623,0.00004590083,0.00003343075,0.0000113136,0.000004707507,0.9988778,0.000347688,0.0006173958],"genre_scores_gemma":[0.0001536822,0.00003024801,0.0001987821,0.00003977262,0.000003165492,0.00004066722,0.9989212,0.0001608906,0.0004516779],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8341286,"threshold_uncertainty_score":0.554895,"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."}}