{"id":"W6943253517","doi":"10.15468/dl.m67be8","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; 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":[0.001152267,0.002003316,0.001721407,0.005363235,0.00110137,0.002968538,0.003048541,0.002062538,0.187583],"category_scores_gemma":[0.006998031,0.001009414,0.001190553,0.01052884,0.0004698524,0.002595003,0.002814463,0.002118389,0.2509224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659009,"about_ca_system_score_gemma":0.002506624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02201888,"about_ca_topic_score_gemma":0.03506098,"domain_scores_codex":[0.998848,0.0001544834,0.0001521423,0.0003986082,0.000259842,0.0001869907],"domain_scores_gemma":[0.9972175,0.0008156444,0.0002528238,0.0007191491,0.0006838898,0.0003108422],"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":[0.00002612512,0.000009241157,0.0003081548,0.0005116989,0.00001351989,0.00001376141,0.0000232711,0.0001011252,0.00009954102,0.0003847709,0.9972185,0.001290313],"study_design_scores_gemma":[0.00006221476,0.000006271889,0.001434788,0.0001879373,0.00001332909,0.00003283857,0.00006671174,0.000119543,0.0001639569,0.0007810076,0.9971147,0.00001675777],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003169312,0.00002385674,0.00004756395,0.00003387953,0.00001127487,0.000004831866,0.9988072,0.0003770488,0.0006627644],"genre_scores_gemma":[0.0001446121,0.00003435514,0.0002020352,0.00004473816,0.000003493073,0.00004273968,0.9988374,0.0001899153,0.0005007676],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.812417,"threshold_uncertainty_score":0.6275276,"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."}}