{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002438366,0.0006198035,0.0005136609,0.0007408367,0.0006692238,0.001342726,0.0007445627,0.0008443716,0.03775602],"category_scores_gemma":[0.0004914632,0.0002527165,0.0003220574,0.0004944206,0.0005912788,0.001132425,0.0004821748,0.0009418353,0.0213498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000309719,"about_ca_system_score_gemma":0.0001962642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003349185,"about_ca_topic_score_gemma":0.0008196372,"domain_scores_codex":[0.9996665,0.00003048711,0.00003558048,0.00002568678,0.0002170537,0.00002474862],"domain_scores_gemma":[0.9996643,0.0001024599,0.00003832819,0.00003731772,0.0001370494,0.0000205633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002876017,0.00008191886,0.0005983782,0.002576428,0.00006436688,0.0009252207,0.0001335202,0.0007745204,0.2488205,0.1807014,0.2793617,0.2856746],"study_design_scores_gemma":[0.000009438941,0.00004902416,0.0003606728,0.00006789954,0.00002948275,0.001339054,0.00005610483,0.001177853,0.178955,0.006035491,0.8119014,0.00001869823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04208224,0.1319375,0.213005,0.02594873,0.09616416,0.0004842182,0.007165268,0.004555846,0.478657],"genre_scores_gemma":[0.13555,0.03848309,0.143086,0.01244521,0.007083164,0.0004900058,0.00619678,0.001980379,0.6546853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03775602,"threshold_uncertainty_score":0.1263065,"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."}}