{"id":"W6924837668","doi":"10.15468/dl.me9yvz","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004030876,0.0003953395,0.0003577788,0.0001491347,0.00029044,0.0005783332,0.0008710857,0.0003638152,0.004891799],"category_scores_gemma":[0.00007063244,0.0003910367,0.0002041374,0.0004359352,0.0002101693,0.001365725,0.0007414548,0.0003685458,0.8980183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004426028,"about_ca_system_score_gemma":0.0001878127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003753703,"about_ca_topic_score_gemma":0.00001338021,"domain_scores_codex":[0.9978769,0.00006862025,0.0005171311,0.0003874818,0.0006992357,0.0004506495],"domain_scores_gemma":[0.9986205,0.00002179398,0.0002751773,0.0006832557,0.0001990656,0.0002001693],"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":[0.00003697546,0.00002326019,0.0001097696,0.0004283133,0.00001887047,0.00000824525,0.00006235121,0.000007888072,0.0000212649,1.306403e-7,0.9990498,0.0002331399],"study_design_scores_gemma":[0.0001840497,0.00004012829,0.000007468505,0.0000120316,0.00009789618,0.00001692575,0.00006933368,1.481173e-7,0.0004062639,0.000002520818,0.998767,0.0003962858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002230498,0.00006538694,0.000002462724,0.0001348949,0.00242899,0.0003683541,0.994276,0.0003084873,0.0001848854],"genre_scores_gemma":[0.00003073939,0.00002186532,0.000004919504,0.0003388299,0.000003572969,0.000005607152,0.9995943,2.797591e-8,1.784532e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8931265,"threshold_uncertainty_score":0.9998541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213677571454823,"score_gpt":0.2259952184821836,"score_spread":0.2138584427676354,"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."}}