{"id":"W6905923332","doi":"10.15468/dl.y5ph22","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); Selection (genetic algorithm)","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":[0.0008639309,0.001947852,0.001635883,0.005392395,0.001151909,0.002805746,0.002836436,0.00204133,0.1821076],"category_scores_gemma":[0.006251634,0.0009746393,0.001332392,0.0109677,0.0004586111,0.002603183,0.00298115,0.002006271,0.2511647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001731578,"about_ca_system_score_gemma":0.002628038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0255985,"about_ca_topic_score_gemma":0.04368074,"domain_scores_codex":[0.9989282,0.0001256917,0.0001434456,0.0003794576,0.0002438613,0.0001791684],"domain_scores_gemma":[0.9976053,0.0006208252,0.0002124718,0.0006125753,0.0006925439,0.0002562254],"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":[0.00003008899,0.00001030819,0.0004516317,0.0006937149,0.00001626483,0.0000173057,0.0000289096,0.0001285271,0.0001270143,0.0004461426,0.996013,0.002037104],"study_design_scores_gemma":[0.00004987875,0.000005982702,0.001525406,0.000202881,0.00001254531,0.00003406162,0.0000735017,0.0001135796,0.000144731,0.0006281264,0.9971943,0.00001500276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003940547,0.00003502222,0.00005166372,0.00003620134,0.00001331534,0.000005104801,0.9986272,0.0004079655,0.0007841763],"genre_scores_gemma":[0.0001590026,0.0000443204,0.0002366602,0.00004705121,0.000003605228,0.00004029154,0.9987397,0.0001714861,0.0005579868],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8178924,"threshold_uncertainty_score":0.6092106,"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."}}