{"id":"W6905770938","doi":"10.15468/dl.n6ykfq","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); Species name; R package","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":[0.0009942533,0.001984006,0.001646098,0.004599909,0.00106664,0.002548939,0.002956663,0.002204623,0.1547627],"category_scores_gemma":[0.005964918,0.0009261024,0.001230168,0.009356271,0.0004645309,0.002371763,0.002615184,0.002103068,0.2235472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001714305,"about_ca_system_score_gemma":0.00244708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02404257,"about_ca_topic_score_gemma":0.03950888,"domain_scores_codex":[0.9989937,0.0001323224,0.0001265162,0.0003492964,0.0002326616,0.0001655656],"domain_scores_gemma":[0.9977483,0.0006178123,0.000207802,0.0005910501,0.0005806494,0.0002542948],"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":[0.00002839675,0.00001120488,0.000366785,0.0005154947,0.0000142151,0.000015242,0.00002507364,0.0001299512,0.0001181837,0.0003911536,0.9969373,0.001447051],"study_design_scores_gemma":[0.00007135196,0.000007408234,0.001740145,0.0001935608,0.00001355732,0.00003679212,0.00007590157,0.0001607642,0.0001875287,0.0007908816,0.9967042,0.00001793239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004192893,0.00002711709,0.0000492132,0.00003682862,0.00001223332,0.000005299451,0.9987716,0.0004119895,0.0006437376],"genre_scores_gemma":[0.0001542642,0.00003130501,0.0002133228,0.000043526,0.00000305223,0.00004130019,0.9989195,0.0001557637,0.0004380808],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8452373,"threshold_uncertainty_score":0.5177329,"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."}}