{"id":"W3091343101","doi":"10.5539/cis.v13n4p12","title":"A New Trend of Digital Healthcare in 3D Printed Medicines","year":2020,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Standardization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001351517,0.00003237347,0.00005977662,0.0001366867,0.00001347687,0.00005196488,0.0001449205,0.00001358254,0.000006816701],"category_scores_gemma":[0.00008908172,0.00002662975,0.00000530145,0.0006354919,0.00009399095,0.001315039,0.0000853228,0.00006483257,0.000006648424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001155473,"about_ca_system_score_gemma":0.00004783144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004527734,"about_ca_topic_score_gemma":5.242313e-7,"domain_scores_codex":[0.9994367,0.000002111861,0.0001731233,0.00004423607,0.0002436103,0.0001001656],"domain_scores_gemma":[0.9997401,0.00002557239,0.00001448167,0.00004723464,0.00003250069,0.0001401576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003391184,0.000001743658,0.004858035,0.0001775332,0.00000118173,3.668451e-7,0.004933999,0.0008000323,0.0001536887,0.0005748228,0.000753133,0.9877421],"study_design_scores_gemma":[0.0002567912,0.00006402984,0.05107285,0.00005668565,2.800514e-7,0.000002450614,0.00006834256,0.9385654,0.0004810673,0.0000401791,0.00933981,0.00005211096],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3606636,0.00009254106,0.6259955,0.005438906,0.0002978058,0.0002042548,0.000006562822,0.0001568862,0.007143937],"genre_scores_gemma":[0.9957862,0.00001973396,0.003964225,0.000199206,0.00002619437,4.869555e-7,0.000001903573,9.618644e-7,0.000001053822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.98769,"threshold_uncertainty_score":0.108593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0244937558427522,"score_gpt":0.2872187668281164,"score_spread":0.2627250109853642,"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."}}