{"id":"W6961930668","doi":"10.15468/dl.qf4csp","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Marine Invertebrate Physiology and Ecology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); State (computer science); Confidentiality","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":[0.001062111,0.002036876,0.001621189,0.004908596,0.001015989,0.002548111,0.002934606,0.002216379,0.1555337],"category_scores_gemma":[0.006240185,0.0009065053,0.001167662,0.009023353,0.0004698155,0.002306884,0.002568231,0.002147919,0.2090493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161141,"about_ca_system_score_gemma":0.002319374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01999849,"about_ca_topic_score_gemma":0.0341954,"domain_scores_codex":[0.9989102,0.0001536271,0.0001423612,0.0003767683,0.0002398618,0.0001771569],"domain_scores_gemma":[0.9973894,0.0007656462,0.0002452313,0.000635009,0.0006599303,0.0003048058],"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":[0.00003152473,0.00001330122,0.0004004123,0.0005473053,0.00001468264,0.00001570288,0.00002227271,0.0001285497,0.000109005,0.0003561614,0.9971055,0.001255509],"study_design_scores_gemma":[0.00009931257,0.000009564847,0.001956034,0.0001979343,0.00001525048,0.00003950637,0.00007579912,0.0001986336,0.0001988959,0.0008085737,0.9963818,0.0000187745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004346751,0.00002450155,0.00004309915,0.00003374349,0.00001108017,0.000005782782,0.9989319,0.0003387643,0.0005677056],"genre_scores_gemma":[0.0001595688,0.00002966989,0.0001923694,0.0000431633,0.000003546562,0.00004518737,0.9989592,0.0001337695,0.0004335977],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8444663,"threshold_uncertainty_score":0.5203122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267564617214416,"score_gpt":0.1898856111524751,"score_spread":0.177209964980331,"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."}}