{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001665719,0.001783666,0.001146479,0.002798512,0.000562556,0.00253546,0.002240097,0.00198988,0.2699586],"category_scores_gemma":[0.01128888,0.0008622984,0.001144147,0.005870994,0.0003813752,0.002089896,0.001256413,0.001708787,0.1537233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002236953,"about_ca_system_score_gemma":0.001915586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01941267,"about_ca_topic_score_gemma":0.03342073,"domain_scores_codex":[0.9986901,0.0002361633,0.0001645569,0.0003274069,0.0003445419,0.0002373261],"domain_scores_gemma":[0.9951073,0.001995628,0.0003995525,0.00119135,0.0009907688,0.0003154624],"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":[0.00006252524,0.0000245343,0.0005373177,0.0002656176,0.00001671223,0.000008680725,0.000007278696,0.0005156663,0.00003875696,0.0004522915,0.9962877,0.001783027],"study_design_scores_gemma":[0.0007101973,0.00004212966,0.00599807,0.0004162469,0.00002472611,0.00005369121,0.00009585442,0.002414571,0.0006551676,0.003472412,0.986075,0.00004198734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009975541,0.00001557105,0.00003768187,0.00006206519,0.00001391838,0.00000692694,0.9988213,0.0002377047,0.0007050469],"genre_scores_gemma":[0.001140703,0.00004191083,0.000275371,0.00006550822,0.000009898886,0.00005773906,0.996841,0.0001648168,0.001403134],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2699586,"threshold_uncertainty_score":0.9031014,"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."}}