{"id":"W6887132893","doi":"10.15468/dl.kgpxvz","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Panicum miliaceum; Download; Matching (statistics); Range (aeronautics); Data set","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":[0.001043964,0.002146598,0.001738143,0.00531589,0.001097587,0.002763084,0.003103785,0.002183231,0.1458666],"category_scores_gemma":[0.005973253,0.0009565714,0.001215159,0.01084841,0.0004718042,0.002365631,0.002654874,0.002139516,0.2137661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001783083,"about_ca_system_score_gemma":0.002743653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02731221,"about_ca_topic_score_gemma":0.0449064,"domain_scores_codex":[0.9988667,0.0001494933,0.0001366517,0.0003945038,0.0002627279,0.0001899933],"domain_scores_gemma":[0.9975861,0.0006509295,0.0002295342,0.00062381,0.0006186729,0.0002909753],"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":[0.00002967684,0.00001087516,0.0003406306,0.0005341623,0.0000152633,0.00001514398,0.0000243741,0.0001162606,0.0001231228,0.0004130488,0.9971173,0.001260121],"study_design_scores_gemma":[0.00006821224,0.000006920537,0.001634765,0.0001773311,0.0000139796,0.00003446476,0.00006809661,0.0001283572,0.0001946305,0.0007536567,0.9969021,0.00001759415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000036867,0.0000270924,0.00004179735,0.00003213543,0.000009944493,0.00000466584,0.9988708,0.0003640682,0.0006125725],"genre_scores_gemma":[0.000140142,0.00003085372,0.0001734354,0.00003927691,0.000002731248,0.00003537912,0.9990135,0.0001413343,0.0004233035],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8541334,"threshold_uncertainty_score":0.4879723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}