{"id":"W6961793930","doi":"10.15468/dl.maqhab","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Mathematics and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; Range (aeronautics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004195162,0.0002876579,0.0003427865,0.00008350279,0.0005224895,0.0001203998,0.0007451532,0.0002104686,0.07986477],"category_scores_gemma":[0.0003017357,0.0002984228,0.0001921954,0.0003497595,0.0001017149,0.0003583831,0.0006046063,0.0003685992,0.04733126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003295534,"about_ca_system_score_gemma":0.0001327886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001234995,"about_ca_topic_score_gemma":0.000008050527,"domain_scores_codex":[0.9982527,0.00006180959,0.0005425464,0.0002218715,0.0006513404,0.0002697506],"domain_scores_gemma":[0.9982264,0.00008758433,0.0005247867,0.00085488,0.0001698901,0.0001364666],"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":[0.000009578862,0.000105389,0.00002376626,0.0003757129,0.00003263298,8.853762e-7,0.00005806565,0.000001622266,1.53219e-8,0.000008232902,0.9991441,0.000239971],"study_design_scores_gemma":[0.0002052457,0.00002142846,0.000001681264,0.00000175889,0.00008567057,0.000006074655,0.0001941772,2.247601e-7,7.676837e-7,0.0001368891,0.9990566,0.0002895043],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001171802,0.000007506885,0.00002489424,0.0001645927,0.0002351781,0.0005527245,0.9983926,0.0001211139,0.0003841392],"genre_scores_gemma":[0.000001676564,0.0000340021,0.00002475655,0.0002309146,0.000001170942,0.00003638137,0.9996705,2.499691e-8,5.647154e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03253351,"threshold_uncertainty_score":0.9999468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03722697986032538,"score_gpt":0.2688989427578145,"score_spread":0.2316719628974891,"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."}}