{"id":"W7117730050","doi":"10.15468/dl.sz2smp","title":"Occurrence Download","year":2025,"lang":"","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Notophthalmus viridescens; Matching (statistics); Download; Caudata; Range (aeronautics)","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":[0.0008903214,0.001803171,0.001486625,0.005008763,0.0008764472,0.002550424,0.002485644,0.001863945,0.1615715],"category_scores_gemma":[0.006449361,0.0008531753,0.001177329,0.009825068,0.0004120562,0.002344554,0.00240537,0.001901769,0.2182428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640632,"about_ca_system_score_gemma":0.002193305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02320409,"about_ca_topic_score_gemma":0.03661244,"domain_scores_codex":[0.9989823,0.0001282454,0.0001291416,0.0003616982,0.000225643,0.0001730697],"domain_scores_gemma":[0.9974668,0.0007243535,0.0002473646,0.0006301709,0.0006363075,0.0002951011],"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":[0.00002835952,0.00001007583,0.0004512305,0.0005309093,0.0000152976,0.0000141051,0.00002361516,0.0001366581,0.00009767884,0.0003463362,0.9968104,0.00153544],"study_design_scores_gemma":[0.00007127902,0.000008532466,0.002228237,0.000213923,0.00001517643,0.0000354797,0.00008622649,0.0002030463,0.0001641707,0.0007734166,0.9961838,0.00001674905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003754455,0.00002300752,0.00003740043,0.00003419181,0.00001144491,0.000004319924,0.998988,0.0003438682,0.0005202161],"genre_scores_gemma":[0.0001720288,0.00003232955,0.0001921507,0.00004426522,0.000003817653,0.00003701222,0.9989318,0.0001393443,0.0004471356],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8384285,"threshold_uncertainty_score":0.5405107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}