{"id":"W4395195330","doi":"10.15468/dl.5amdc9","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.001086162,0.001906393,0.001605539,0.004606823,0.0009617185,0.002563968,0.002872226,0.002122096,0.1644628],"category_scores_gemma":[0.006297763,0.0009653521,0.001173027,0.009045031,0.0004437549,0.002308952,0.002467903,0.002084855,0.2086537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00169978,"about_ca_system_score_gemma":0.00234227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02206072,"about_ca_topic_score_gemma":0.03485607,"domain_scores_codex":[0.9989225,0.000147812,0.0001452176,0.0003759994,0.0002395767,0.0001689551],"domain_scores_gemma":[0.9975097,0.0007476019,0.0002361948,0.0006017566,0.0006217311,0.0002831171],"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":[0.0000287069,0.00001111538,0.0003613012,0.0005298398,0.00001544051,0.00001479648,0.00002232116,0.000128483,0.0001016596,0.0003774424,0.9971392,0.001269583],"study_design_scores_gemma":[0.00008969814,0.000007537721,0.001854084,0.0001929595,0.00001515194,0.00003571356,0.00006855333,0.0001807127,0.0001821994,0.0007926654,0.996563,0.00001775108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003412803,0.00002207146,0.00004245868,0.00003293753,0.000009772205,0.000004928782,0.9989672,0.0003364104,0.0005500671],"genre_scores_gemma":[0.0001550669,0.00003072608,0.0001982945,0.00004476271,0.000003117067,0.00004239059,0.9989767,0.0001497885,0.0003991846],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8355372,"threshold_uncertainty_score":0.5501829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996441822405556,"score_gpt":0.2168608301763518,"score_spread":0.1968964119522962,"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."}}