{"id":"W6924700016","doi":"10.15468/dl.s5h2qk","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Carbon and Quantum Dots Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003533053,0.000249606,0.0002628115,0.00008958771,0.000322653,0.0002336153,0.0006510541,0.0002856671,0.001976749],"category_scores_gemma":[0.0001364991,0.0002523629,0.0001346912,0.0004335109,0.0002046265,0.000600239,0.0004137469,0.00019561,0.854884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002545576,"about_ca_system_score_gemma":0.0001564085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00174932,"about_ca_topic_score_gemma":0.00006127901,"domain_scores_codex":[0.9984165,0.00004878203,0.0004128773,0.0002778476,0.0005211478,0.0003228135],"domain_scores_gemma":[0.998639,0.00003108235,0.0002890702,0.0006656575,0.0002049091,0.0001703192],"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":[0.00001871688,0.00002379959,0.0000415957,0.00008712854,0.000006501371,0.000001262981,0.00002074642,0.000006880937,0.000004507493,7.039343e-7,0.9995813,0.0002068982],"study_design_scores_gemma":[0.0001896288,0.00001694643,0.00006699369,0.000002185154,0.00003557876,0.000003068297,0.00008774329,2.694948e-7,0.00003287299,0.000002681374,0.999297,0.0002650052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001639473,0.000008483708,0.000004564053,0.0002240773,0.000949705,0.0003359263,0.9964427,0.0003077803,0.00008722684],"genre_scores_gemma":[0.00001187482,0.00005686287,0.000001279043,0.0003701027,0.000002473551,0.00001415777,0.9995429,1.893507e-8,3.098224e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8529073,"threshold_uncertainty_score":0.9999928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0211060410629706,"score_gpt":0.2419075177653701,"score_spread":0.2208014767023996,"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."}}