{"id":"W6962060885","doi":"10.15468/dl.ryvenq","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien; The Internet","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":[0.001065328,0.002303821,0.001686727,0.004567724,0.001129638,0.002685567,0.003150166,0.002338843,0.1457122],"category_scores_gemma":[0.006329605,0.0009596262,0.001358288,0.0081523,0.0004806302,0.002535697,0.002668278,0.002255003,0.2080894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001665345,"about_ca_system_score_gemma":0.002423459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01816201,"about_ca_topic_score_gemma":0.03176796,"domain_scores_codex":[0.9989176,0.0001547422,0.0001325297,0.000402198,0.0002256546,0.0001673504],"domain_scores_gemma":[0.9975718,0.0007403971,0.0002098752,0.000645829,0.0005359393,0.0002961118],"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":[0.00003597222,0.00001475528,0.0004076222,0.0005553996,0.000016445,0.0000181998,0.00002228798,0.0001608172,0.0001159544,0.0003617332,0.996852,0.001438783],"study_design_scores_gemma":[0.0001008602,0.00001106243,0.001826445,0.000203475,0.0000168984,0.00004894454,0.00007717362,0.0002706716,0.0002408174,0.001047118,0.9961348,0.00002169528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000520334,0.00003146243,0.00005530882,0.00004671046,0.00001406893,0.000007318467,0.9985971,0.000554122,0.0006418913],"genre_scores_gemma":[0.00017514,0.00003326555,0.0002410394,0.00005239643,0.000003710695,0.00004838263,0.9988651,0.0001613894,0.00041956],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8542879,"threshold_uncertainty_score":0.4874557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01659720202913595,"score_gpt":0.2501027912540013,"score_spread":0.2335055892248653,"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."}}