{"id":"W6905910182","doi":"10.15468/dl.wdmj24","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","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":[0.001007081,0.001964857,0.001557736,0.004771786,0.0009771945,0.00247625,0.002736205,0.002119447,0.1533953],"category_scores_gemma":[0.005979931,0.0009051498,0.001291597,0.009126822,0.0004501512,0.002194959,0.002543309,0.001972418,0.2180859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513493,"about_ca_system_score_gemma":0.002277891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02141781,"about_ca_topic_score_gemma":0.03483607,"domain_scores_codex":[0.9989784,0.0001410315,0.0001236917,0.0003587557,0.0002288936,0.0001692468],"domain_scores_gemma":[0.9974331,0.0007508429,0.0002251002,0.0006893195,0.0006140902,0.0002874609],"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":[0.00003052169,0.00001298329,0.0004166124,0.0005440427,0.00001535676,0.0000156759,0.00002438238,0.0001303824,0.0001277146,0.0003453653,0.9968475,0.001489419],"study_design_scores_gemma":[0.00007922788,0.00001046727,0.002206808,0.0002100382,0.00001627185,0.00004113861,0.00008074191,0.0001749496,0.0002132295,0.0007825502,0.9961658,0.00001886549],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005138764,0.00002967397,0.00004607672,0.00003908169,0.000013298,0.00000594258,0.998744,0.0004324528,0.0006381085],"genre_scores_gemma":[0.0001749054,0.00003325412,0.0002017169,0.00004803312,0.000003703592,0.00004437688,0.9988668,0.0001518669,0.0004753255],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8466047,"threshold_uncertainty_score":0.5131584,"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."}}