{"id":"W6906288294","doi":"10.15468/dl.xbjmb5","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); 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":[0.000985981,0.002008421,0.001569346,0.00517165,0.001044865,0.002667614,0.002844911,0.002172902,0.1657292],"category_scores_gemma":[0.006061715,0.0009090035,0.00130966,0.009847717,0.000450819,0.002508092,0.002635295,0.002057977,0.2368797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713324,"about_ca_system_score_gemma":0.002448006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02257749,"about_ca_topic_score_gemma":0.03583007,"domain_scores_codex":[0.9989182,0.0001512491,0.0001396636,0.0003727547,0.0002393703,0.0001788509],"domain_scores_gemma":[0.9974948,0.0007240098,0.0002156202,0.0006598207,0.0006333998,0.0002723798],"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":[0.00002753878,0.00001187766,0.0003395714,0.0005323401,0.00001326178,0.00001482275,0.00002259319,0.000109976,0.000109077,0.0003494441,0.9969944,0.001475165],"study_design_scores_gemma":[0.00006710644,0.000008918229,0.001772899,0.0002081234,0.00001387343,0.00003930781,0.00007910579,0.0001515683,0.0001892368,0.0007309193,0.9967216,0.00001739375],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004228824,0.00003102315,0.00004511995,0.00004399949,0.00001353059,0.000006386756,0.9987159,0.0004121139,0.0006897095],"genre_scores_gemma":[0.0001489026,0.00003815866,0.0002021934,0.00005113775,0.000003689306,0.00004681811,0.9988465,0.0001415089,0.0005210353],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8342708,"threshold_uncertainty_score":0.5544193,"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."}}