{"id":"W6946132402","doi":"10.34820/fk2/e3ypdt/eyyz6o","title":"Data Transfer Pricing Decisions.docx","year":2023,"lang":"en","type":"dataset","venue":"Telkom University","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kelowna General Hospital","funders":"","keywords":"Transfer (computing); Transfer pricing; Data collection; Complete information; Data transmission","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001514747,0.0002180884,0.0002235546,0.00008626372,0.0001927221,0.0000151823,0.001201645,0.0002688636,0.00002105393],"category_scores_gemma":[0.00007123206,0.0002355506,0.0000866027,0.0001383451,0.00008043415,8.796243e-7,0.001366551,0.0001563579,0.000258296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000021777,"about_ca_system_score_gemma":0.0001222287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004387466,"about_ca_topic_score_gemma":0.00147505,"domain_scores_codex":[0.9988205,0.00004672497,0.0001246602,0.0006322694,0.0001338285,0.0002419788],"domain_scores_gemma":[0.9983799,0.00004263975,0.00003918656,0.001404567,0.00005374701,0.00007990118],"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":[0.00003700058,0.00002595246,0.00002067582,0.00001278858,0.0001574362,0.00003507572,0.000006679751,0.00001529426,0.001481741,0.000003865747,0.9978035,0.0003999927],"study_design_scores_gemma":[0.0002764065,0.00006441967,0.0006989189,0.0000171029,0.0001261676,0.000004321499,0.00009122847,0.0000052534,0.0001134678,0.000008682993,0.9983298,0.0002642142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008548285,0.0003700481,0.0001455741,0.00005687286,0.0003103931,0.0001482584,0.9902633,0.000008484497,0.000148791],"genre_scores_gemma":[0.0006759515,0.00668895,0.0001342049,0.00008250593,0.0002345649,4.041647e-7,0.9910082,0.00001912735,0.001156114],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007872333,"threshold_uncertainty_score":0.9605474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0425838850650735,"score_gpt":0.2529623753308677,"score_spread":0.2103784902657942,"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."}}