{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006301852,0.0005748122,0.0003977106,0.001411561,0.003363563,0.006085494,0.0006209015,0.001534268,0.2269629],"category_scores_gemma":[0.002206574,0.0003153954,0.0003425997,0.001335148,0.002942194,0.005112478,0.005094523,0.002431984,0.05784876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001706194,"about_ca_system_score_gemma":0.002431427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003129693,"about_ca_topic_score_gemma":0.006071128,"domain_scores_codex":[0.9994382,0.0001578585,0.00001561975,0.0001159596,0.0001834435,0.00008889228],"domain_scores_gemma":[0.9994705,0.00008908721,0.00001799559,0.0001227458,0.0001328236,0.0001668308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000337859,0.00002232281,0.0001885598,0.00006883626,0.000004435687,0.0001392875,0.001452108,0.00007034209,0.0002683538,0.4555757,0.4012596,0.1409166],"study_design_scores_gemma":[0.000001831053,0.00000606825,0.00008613457,0.0000355069,0.000001225263,0.0001140834,0.0004154401,0.00003978163,0.00007927033,0.01729719,0.9819211,0.0000024188],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008350856,0.001959102,0.001988792,0.003608793,0.002161529,0.00002058351,0.00006794279,0.0001134638,0.9892448],"genre_scores_gemma":[0.01251372,0.00129645,0.0009127274,0.001319302,0.0003218584,0.00002063613,0.00007907175,0.0001195964,0.9834167],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2269629,"threshold_uncertainty_score":0.7592665,"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."}}