{"id":"W6961705685","doi":"10.15468/dl.mntgsy","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","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":[0.001046498,0.002359794,0.001814493,0.004636434,0.001105737,0.002826169,0.003363573,0.002391713,0.1549456],"category_scores_gemma":[0.005765123,0.0009897443,0.001184579,0.008802372,0.0004945307,0.00253541,0.002797852,0.00243272,0.2307531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001739715,"about_ca_system_score_gemma":0.00239811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01968621,"about_ca_topic_score_gemma":0.03303814,"domain_scores_codex":[0.999008,0.0001352145,0.0001148217,0.0003603972,0.0002194444,0.00016215],"domain_scores_gemma":[0.9978155,0.0006306378,0.000198139,0.0005644955,0.00049501,0.0002961395],"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":[0.00003305273,0.00001406911,0.0003584216,0.000517021,0.00001508924,0.00001754344,0.00002431435,0.0001495556,0.0001170366,0.0004105762,0.9969276,0.001415694],"study_design_scores_gemma":[0.00008781022,0.000007952017,0.001518103,0.0001738775,0.00001375178,0.00004070565,0.00007104052,0.0002182122,0.00021191,0.0009887761,0.9966483,0.00001956562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000439638,0.00002621059,0.00005639242,0.00003704529,0.00001144253,0.000005606903,0.998657,0.0005081854,0.0006541115],"genre_scores_gemma":[0.0001552882,0.00003088185,0.0002349227,0.00004273163,0.000003138329,0.00004219776,0.9988997,0.0001777087,0.0004133752],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8450544,"threshold_uncertainty_score":0.5183446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118851950255515,"score_gpt":0.2155655796249318,"score_spread":0.2043770601223767,"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."}}