{"id":"W6980759081","doi":"","title":"Control of dense collagen gel scaffolds for tissue engineering through measurement and modeling of hydraulic permeability","year":2011,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; McGill University","keywords":"Fibroblast; Scaffold; Permeability (electromagnetism); Tissue engineering; Microstructure; Biocompatibility; Type I collagen; Contraction (grammar)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00177105,0.0005942344,0.001116587,0.0003727745,0.0003823074,0.00003659983,0.001613981,0.0006475386,0.000004584156],"category_scores_gemma":[0.001168621,0.000666039,0.0002689847,0.000374882,0.00008935016,0.000570457,0.0002445622,0.0002922911,0.000003937487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004583296,"about_ca_system_score_gemma":0.0001136395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002549477,"about_ca_topic_score_gemma":0.0001772404,"domain_scores_codex":[0.9962608,0.0001376016,0.001153636,0.001043849,0.0008620686,0.0005421053],"domain_scores_gemma":[0.9964038,0.000226888,0.0007693606,0.001276149,0.001201882,0.0001219488],"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":[0.0005023844,0.0006730104,0.0000386904,0.00613465,0.000945587,0.00002365929,0.0004623502,0.016114,0.4774415,0.3304881,0.000007925125,0.1671681],"study_design_scores_gemma":[0.003523654,0.001282039,0.0004355093,0.002371653,0.0005838021,0.00003443906,0.0002047988,0.1941569,0.6981907,0.08915695,0.007598111,0.002461357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838242,0.002128211,0.008410255,0.00001592136,0.0009816572,0.001687257,0.0001527176,0.0006330378,0.00216676],"genre_scores_gemma":[0.9459186,0.00004621326,0.05372359,0.000021119,0.00001315224,0.0001167167,0.00001189422,0.00007595189,0.00007276055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2413312,"threshold_uncertainty_score":0.9995791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03707971492936462,"score_gpt":0.2395232803340881,"score_spread":0.2024435654047234,"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."}}