{"id":"W4254954343","doi":"10.1109/iembs.2006.4397918","title":"Biocompatibility of Candidate Materials for the Realization of Medical Microdevices","year":2006,"lang":"en","type":"article","venue":"Conference proceedings","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; Polytechnique Montréal","funders":"","keywords":"Biocompatibility; Realization (probability); Materials science; Biomedical engineering; Computer science; Nanotechnology; Engineering; Metallurgy; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001184549,0.00007267459,0.0001674645,0.00004739974,0.00002753211,0.0000293019,0.0003822625,0.00009126147,0.0001714378],"category_scores_gemma":[0.0005178792,0.00005051562,0.00002379145,0.0001521102,0.0002053181,0.00005109661,0.00005927655,0.00006348758,0.000001380594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001990296,"about_ca_system_score_gemma":0.00006631221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004980255,"about_ca_topic_score_gemma":0.00003291403,"domain_scores_codex":[0.9988874,0.000005186851,0.0003391778,0.0001112372,0.0004978338,0.0001591734],"domain_scores_gemma":[0.9992141,0.0001455864,0.00007479003,0.00008473004,0.0004435688,0.00003728832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004486198,0.00005854309,0.01559721,0.003632774,0.00004722195,1.717234e-7,0.0006894228,0.00002013539,0.9028782,0.06245992,0.005204839,0.009366754],"study_design_scores_gemma":[0.000351861,0.00004012889,0.02172219,0.0002834405,0.00001746987,0.000001229657,0.0001405783,0.02379917,0.9458609,0.005249507,0.002426307,0.0001072128],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815271,0.0001045345,0.01682815,0.0002544207,0.00009843172,0.0003276691,0.00003326591,0.00005111485,0.0007752897],"genre_scores_gemma":[0.9995003,0.00007901417,0.0002865434,0.000005792255,0.0000588514,0.00003471197,0.00001005825,0.000009348923,0.00001536712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05721042,"threshold_uncertainty_score":0.2059967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02354072013984694,"score_gpt":0.2944168480672764,"score_spread":0.2708761279274295,"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."}}