{"id":"W6905908320","doi":"10.15468/dl.s8b22w","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); Alien; Range (aeronautics); Species name","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":[0.0009979022,0.001922339,0.001597508,0.005274099,0.001058785,0.002690717,0.002757323,0.002132362,0.1687151],"category_scores_gemma":[0.006170088,0.0008744457,0.001282524,0.01020443,0.0004590092,0.00245685,0.00266859,0.001972826,0.2455732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650523,"about_ca_system_score_gemma":0.002441594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02385155,"about_ca_topic_score_gemma":0.0374896,"domain_scores_codex":[0.9989164,0.0001516294,0.0001359547,0.0003747607,0.0002404755,0.0001807993],"domain_scores_gemma":[0.9973469,0.0007607074,0.0002258929,0.0006926584,0.0006875562,0.0002862191],"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":[0.00002840344,0.00001151745,0.0003864376,0.000556179,0.00001315417,0.00001558194,0.0000252451,0.0001117086,0.0001135516,0.0003570147,0.9968546,0.001526674],"study_design_scores_gemma":[0.0000608733,0.000008458802,0.001865219,0.000204245,0.00001328151,0.0000354135,0.0000849529,0.0001369747,0.0001780857,0.0007126783,0.9966826,0.00001718162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000445548,0.00002969306,0.00004210996,0.00004130537,0.00001315708,0.000005826887,0.9987349,0.0003938823,0.0006945417],"genre_scores_gemma":[0.0001656545,0.00003847167,0.0001995428,0.00004787237,0.000004056779,0.00004465674,0.9988143,0.0001496969,0.0005357521],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8312849,"threshold_uncertainty_score":0.5644084,"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."}}