{"id":"W4398219861","doi":"10.1007/978-3-031-57534-1","title":"Human Digital Twin","year":2024,"lang":"en","type":"book","venue":"SpringerBriefs in computer science","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Concordia University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002575013,0.0003480096,0.0002769748,0.0006835143,0.00006386132,0.001393732,0.001114646,0.0002200363,0.00004903508],"category_scores_gemma":[0.000005352688,0.0003864907,0.00009176517,0.0005746468,0.0004495645,0.001294272,0.0003028366,0.0008710191,0.0008011459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006641103,"about_ca_system_score_gemma":0.0002598701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001126821,"about_ca_topic_score_gemma":0.000002088932,"domain_scores_codex":[0.9978719,0.0000024581,0.0004903975,0.0005110222,0.0006258776,0.0004983913],"domain_scores_gemma":[0.9992438,0.00002653896,0.00003242396,0.0005112248,0.00004491864,0.0001411147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002282833,0.00008685069,0.0001189041,0.003043053,0.0001202847,0.0006726728,0.002108071,0.1489909,0.0001326217,0.1833262,0.1270014,0.5343969],"study_design_scores_gemma":[0.0004129383,0.0001082297,0.0003781882,0.003726443,0.00001990974,0.0001154641,0.0000095631,0.110506,0.0005965017,0.0588666,0.8227566,0.002503629],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006508278,0.0001477299,0.01812359,0.00002796762,0.003307497,0.0002003226,0.00003581949,0.0008884652,0.9766178],"genre_scores_gemma":[0.4807067,0.00005969715,0.007008883,0.0003400663,0.004461451,0.00009420052,0.00009266045,0.0005823993,0.506654],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6957552,"threshold_uncertainty_score":0.9999769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554805131798288,"score_gpt":0.2312587903409107,"score_spread":0.2157107390229278,"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."}}