{"id":"W1970860895","doi":"10.1081/bio-120016529","title":"ARTIFICIAL CELLS FOR ARTIFICIAL ORGANS<sup>*</sup>","year":2002,"lang":"en","type":"article","venue":"Artificial Cells Blood Substitutes and Biotechnology","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001747417,0.0004472057,0.0005407119,0.0002320488,0.0003324187,0.0001161778,0.0002847885,0.0007489104,0.000209641],"category_scores_gemma":[0.00004400595,0.0004518674,0.0001233565,0.0003533273,0.0002329425,0.0001729678,0.00008790699,0.0003114374,0.000199431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002912936,"about_ca_system_score_gemma":0.00001452794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001503766,"about_ca_topic_score_gemma":0.00006772645,"domain_scores_codex":[0.9976735,0.00002038947,0.0006829376,0.000602208,0.0001548987,0.0008660998],"domain_scores_gemma":[0.9991713,0.00008660956,0.00008869916,0.0004337817,0.00006378158,0.0001557941],"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":[0.00003154958,0.000170286,0.000001023072,0.00009016232,0.00005836093,0.00002720558,0.0001501482,0.003479345,0.9189287,0.04576248,0.0004681323,0.03083263],"study_design_scores_gemma":[0.0002019862,0.0002110513,3.868649e-7,0.0000172447,0.0001218855,0.00001996486,0.0001838443,0.04342787,0.9155138,0.01856682,0.02122698,0.0005081175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713404,0.0009698065,0.02280561,0.0007090899,0.001814486,0.00080173,0.0002094998,0.001198674,0.0001506694],"genre_scores_gemma":[0.9921649,0.001014063,0.005830297,0.0001095929,0.0005967786,0.00007088575,0.00002827452,0.00009665198,0.00008859333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03994853,"threshold_uncertainty_score":0.9997933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665550409641492,"score_gpt":0.1959607346609215,"score_spread":0.1793052305645066,"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."}}