{"id":"W6887120827","doi":"10.15468/dl.tpcvuq","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); Range (aeronautics); Peromyscus; Process (computing)","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":[0.0009541566,0.001988155,0.001586818,0.004715508,0.000961802,0.002461888,0.002808121,0.002048236,0.1531613],"category_scores_gemma":[0.005916519,0.0009340682,0.00118756,0.00920826,0.0004426845,0.002258845,0.002571576,0.001999598,0.2084259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594562,"about_ca_system_score_gemma":0.002300742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.022656,"about_ca_topic_score_gemma":0.0361167,"domain_scores_codex":[0.9990246,0.0001283901,0.0001253762,0.0003404017,0.0002174529,0.0001636795],"domain_scores_gemma":[0.9977145,0.0006450552,0.0002140077,0.0006095184,0.0005488884,0.0002680181],"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":[0.00002990508,0.00001134618,0.0003741026,0.0005331771,0.00001522202,0.00001474405,0.00002529525,0.0001344198,0.0001230725,0.000378161,0.9969048,0.001455726],"study_design_scores_gemma":[0.00007706327,0.00000820179,0.001888094,0.0001927454,0.00001466884,0.00003849246,0.00007553685,0.0001786119,0.0002064394,0.0007705544,0.9965314,0.00001816818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004198286,0.00002547436,0.00004767378,0.0000343725,0.00001152753,0.000005216618,0.9988295,0.0004278117,0.0005765019],"genre_scores_gemma":[0.0001634602,0.00003130538,0.0002096442,0.00004135712,0.000003099362,0.00004128139,0.9989341,0.0001651496,0.000410592],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8468387,"threshold_uncertainty_score":0.5123757,"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."}}