{"id":"W6887210450","doi":"10.15468/dl.vqaanz","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); Ophiostoma; 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":[0.0009998593,0.002002107,0.001576158,0.00490663,0.001065988,0.002596122,0.002867555,0.002223945,0.1583963],"category_scores_gemma":[0.006054316,0.0009096191,0.001288619,0.009059878,0.0004527567,0.002417758,0.002602004,0.002130959,0.2247631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163696,"about_ca_system_score_gemma":0.002409207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02192539,"about_ca_topic_score_gemma":0.0365463,"domain_scores_codex":[0.9989123,0.0001471898,0.0001334688,0.000383785,0.0002410646,0.0001821843],"domain_scores_gemma":[0.9974057,0.000731842,0.0002258287,0.00070905,0.0006328801,0.0002947458],"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":[0.00002851649,0.00001202158,0.0003482907,0.0004639358,0.00001318076,0.00001446825,0.00002162195,0.0001171265,0.0001116518,0.0003573331,0.9971991,0.001312728],"study_design_scores_gemma":[0.00007378824,0.000009201271,0.001906771,0.0001930548,0.00001435454,0.00003867062,0.00007703916,0.0001621208,0.0001947496,0.0008284672,0.996483,0.00001872971],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004305374,0.00002435619,0.00004356228,0.00003992589,0.00001327916,0.000005793914,0.9988087,0.0003861262,0.0006351602],"genre_scores_gemma":[0.0001511598,0.00002964908,0.0001964084,0.00004701908,0.000003486899,0.00004139577,0.9989308,0.0001411823,0.0004590232],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8416038,"threshold_uncertainty_score":0.5298883,"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."}}