{"id":"W6924327415","doi":"10.15468/dl.mrz3sz","title":"Occurrence Download","year":2023,"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); Confidentiality; Range (aeronautics); MEDLINE","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":[0.0009529037,0.001967858,0.001561632,0.004807724,0.0009929058,0.00240184,0.002799329,0.002052831,0.1388404],"category_scores_gemma":[0.00554371,0.0009109127,0.001195519,0.009306214,0.0004494478,0.002159987,0.002494514,0.002018563,0.1947233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618928,"about_ca_system_score_gemma":0.002267348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02333881,"about_ca_topic_score_gemma":0.03823274,"domain_scores_codex":[0.9990252,0.0001280344,0.00012324,0.0003378949,0.0002187526,0.0001668339],"domain_scores_gemma":[0.9977835,0.000624745,0.0002107592,0.0005930339,0.0005319869,0.0002559272],"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":[0.0000298735,0.00001210213,0.0004398322,0.0005498051,0.00001598621,0.00001638165,0.00002812185,0.000147205,0.0001391715,0.0004071022,0.9966785,0.001535992],"study_design_scores_gemma":[0.00007156133,0.000008018758,0.002063385,0.0001953294,0.00001510227,0.00004011735,0.00008030082,0.0001690536,0.0002012626,0.0007262168,0.9964117,0.00001792557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004923741,0.00002773318,0.00004873938,0.00003441021,0.00001204227,0.000005186136,0.9988046,0.0004053198,0.0006127153],"genre_scores_gemma":[0.000162418,0.00003045681,0.0002005776,0.00003920744,0.000002904595,0.00003827835,0.9989912,0.0001433626,0.0003916078],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8611596,"threshold_uncertainty_score":0.4644673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}