{"id":"W6943362804","doi":"10.15468/dl.k29d73","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); 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":[0.0009694679,0.001998066,0.001544391,0.004572701,0.001082449,0.002671359,0.002754596,0.002217234,0.1622356],"category_scores_gemma":[0.006194775,0.0008863262,0.001278979,0.008684274,0.0004503776,0.002529092,0.002585649,0.002043601,0.2365702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539605,"about_ca_system_score_gemma":0.002278014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0211921,"about_ca_topic_score_gemma":0.03538749,"domain_scores_codex":[0.9989548,0.0001492419,0.0001224405,0.0003781493,0.0002267959,0.0001686224],"domain_scores_gemma":[0.9974037,0.0007511659,0.0002121244,0.0007056982,0.0006518331,0.0002754497],"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":[0.0000268897,0.00001194813,0.0003778967,0.0004602135,0.00001227941,0.00001475442,0.00002161881,0.0001144428,0.00009850093,0.0003304736,0.9971834,0.001347526],"study_design_scores_gemma":[0.00006980673,0.000009214325,0.001847157,0.0001894249,0.00001323891,0.00003744544,0.00008104189,0.0001785972,0.0001846442,0.0008324105,0.9965388,0.00001835279],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005053198,0.00003022618,0.00005096518,0.00004758862,0.00001543194,0.000006498996,0.9985622,0.0004914858,0.0007451868],"genre_scores_gemma":[0.0001832595,0.00003397006,0.0002241808,0.00005357773,0.000004395664,0.00004763226,0.9987633,0.0001677614,0.000521958],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8377644,"threshold_uncertainty_score":0.5427322,"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."}}