{"id":"W6943346025","doi":"10.15468/dl.stu988","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","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":[0.001097382,0.001925853,0.001567489,0.004970594,0.001076435,0.002610884,0.002885544,0.001995527,0.1775611],"category_scores_gemma":[0.00609779,0.0009672555,0.001137372,0.009596505,0.0004558336,0.002313105,0.002669598,0.002054494,0.2432565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630801,"about_ca_system_score_gemma":0.002403842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02182597,"about_ca_topic_score_gemma":0.03650877,"domain_scores_codex":[0.9989488,0.0001368834,0.0001310697,0.0003707198,0.0002393206,0.0001732334],"domain_scores_gemma":[0.9975293,0.0006984231,0.0002249103,0.0006433804,0.0006179713,0.0002860572],"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":[0.00002665793,0.00001070812,0.0003399753,0.0004754945,0.00001315138,0.0000142456,0.00002380512,0.0001033284,0.0001239324,0.000386504,0.9971538,0.001328563],"study_design_scores_gemma":[0.00005946342,0.000006830175,0.001673326,0.000166011,0.00001277676,0.00003370296,0.00006863316,0.0001209656,0.000192261,0.0006895687,0.9969597,0.00001681718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003861246,0.00002278389,0.00004909054,0.00003366066,0.00001138395,0.000005094033,0.9987499,0.0003817759,0.0007078181],"genre_scores_gemma":[0.0001538798,0.00002957182,0.0002071691,0.00004151668,0.000003142836,0.00004240721,0.9988309,0.0001840306,0.0005073898],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8224388,"threshold_uncertainty_score":0.5940012,"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."}}