{"id":"W6943181456","doi":"10.15468/dl.p9n3z9","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data collection; 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":[0.001015205,0.001834029,0.001576002,0.004691623,0.001014353,0.002685995,0.002791039,0.002102102,0.1380176],"category_scores_gemma":[0.005689496,0.0008857311,0.001089119,0.009162832,0.0004337158,0.002186664,0.002441396,0.002145808,0.1980358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001685151,"about_ca_system_score_gemma":0.002288844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01971072,"about_ca_topic_score_gemma":0.03541335,"domain_scores_codex":[0.9989935,0.0001441489,0.0001269981,0.0003539856,0.0002226571,0.0001588047],"domain_scores_gemma":[0.9977068,0.0006682656,0.0002255625,0.0005703683,0.0005471703,0.0002817196],"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":[0.00003217438,0.00001374077,0.0004360476,0.0005989447,0.00001608819,0.00001674261,0.00002681796,0.0001467207,0.0001306964,0.0004781929,0.9966175,0.001486429],"study_design_scores_gemma":[0.00006869408,0.00000741826,0.001747928,0.000184257,0.00001286632,0.00003351629,0.0000678537,0.0001569492,0.0001681478,0.0007629364,0.9967735,0.00001591423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004547723,0.00002944821,0.00004827224,0.00003601727,0.0000108912,0.000005263133,0.9988392,0.0003275067,0.0006579813],"genre_scores_gemma":[0.0001570677,0.00003689406,0.0002180505,0.00004417578,0.000003056326,0.00004320627,0.9988871,0.0001338747,0.0004766286],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8619825,"threshold_uncertainty_score":0.4617147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01383425739114906,"score_gpt":0.1961866182594779,"score_spread":0.1823523608683289,"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."}}