{"id":"W6961617553","doi":"10.15468/dl.kb42w2","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Plant Taxonomy and Phylogenetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000122502,0.0001992872,0.0001949072,0.0000122924,0.0002734729,0.0001055218,0.0005129296,0.0003240884,0.001427473],"category_scores_gemma":[0.00005863278,0.00009341879,0.0001198129,0.0002913699,0.00007320141,0.0002363063,0.0002533608,0.0001806625,0.01511747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000803135,"about_ca_system_score_gemma":0.00003896758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005392738,"about_ca_topic_score_gemma":0.0001326843,"domain_scores_codex":[0.9990861,0.00005060615,0.0002452821,0.0001731141,0.0002243282,0.0002205922],"domain_scores_gemma":[0.9994687,0.00004618472,0.0001623493,0.0001059975,0.0001180929,0.00009865006],"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":[0.0000263368,0.00002322567,0.001287274,0.00003708496,0.00001381,8.164743e-7,0.000002489109,0.000001554903,6.750029e-7,5.372373e-8,0.9874645,0.01114217],"study_design_scores_gemma":[0.0000689637,0.00003378184,0.0004562468,0.000002499658,0.00002710488,0.000001671851,0.00003111456,3.933305e-8,0.000006996058,6.743818e-7,0.9991764,0.000194539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002967985,0.00002652129,2.050001e-7,0.0001713311,0.0003440441,0.0002069174,0.9960244,0.00004427577,0.0002143143],"genre_scores_gemma":[0.00004557458,0.0001118139,4.569357e-7,0.0006315158,0.000002449811,0.00000259549,0.9992054,2.3695e-10,2.067351e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01369,"threshold_uncertainty_score":0.9994854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781227119751611,"score_gpt":0.192370027185851,"score_spread":0.1745577559883349,"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."}}