{"id":"W3047231608","doi":"10.1109/lifetech48969.2020.9080941","title":"LifeTech 2020 Tutorial Session","year":2020,"lang":"en","type":"article","venue":"2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech)","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Harmonization; Standardization; Session (web analytics); International standardization; Commission; Work (physics); Convergence (economics); Engineering management; European union; China; European commission; Russian federation; Computer science; Key (lock); Business; Political science; Engineering; Computer security; International trade; Law; Finance; Economic growth; Economic policy","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":[0.001310719,0.001018127,0.0005636837,0.001143462,0.001193892,0.003901088,0.001084078,0.002500989,0.4325134],"category_scores_gemma":[0.00180595,0.0002830834,0.0006577546,0.0006089993,0.0002774574,0.002797235,0.002203068,0.002659631,0.3287415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287228,"about_ca_system_score_gemma":0.00147972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008712922,"about_ca_topic_score_gemma":0.002795436,"domain_scores_codex":[0.9994305,0.00008194929,0.00002105929,0.00009447195,0.0002775425,0.00009432845],"domain_scores_gemma":[0.9989643,0.0001013036,0.00003409453,0.00004104607,0.0004673563,0.0003918648],"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":[0.00002857296,0.00004451894,0.00004521733,0.0001036267,0.000001780679,0.00003863721,0.00002578594,0.00006408727,0.0005390926,0.002586301,0.9408783,0.05564401],"study_design_scores_gemma":[0.000003755302,0.00002068933,0.00008406499,0.00005018898,0.000001193701,0.00004919224,0.00001938439,0.00004383284,0.000103314,0.0005948513,0.9990262,0.000003282967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001333026,0.01194745,0.01077631,0.01880937,0.06273378,0.0005267292,0.002599427,0.003249388,0.8880246],"genre_scores_gemma":[0.002919578,0.005283784,0.002627433,0.006270808,0.01200804,0.0002412288,0.003259437,0.0006776417,0.9667121],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4325134,"threshold_uncertainty_score":0.8094507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0580581886267146,"score_gpt":0.3228025239746747,"score_spread":0.2647443353479601,"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."}}