{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000500081,0.0003458098,0.0002162309,0.0001532521,0.0001526716,0.0005935288,0.0002611973,0.0002698154,0.0002206188],"category_scores_gemma":[0.0003668416,0.0002057479,0.0001905919,0.0001481645,0.0002878327,0.0003129456,0.0002439066,0.0002771745,0.00008548399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006205415,"about_ca_system_score_gemma":0.000430826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001482221,"about_ca_topic_score_gemma":0.001958912,"domain_scores_codex":[0.9998015,0.00002927174,0.00001423293,0.00004600026,0.00009348163,0.00001566706],"domain_scores_gemma":[0.9998181,0.00007835763,0.00005896485,0.00001641393,0.00001991914,0.000008205862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002745533,0.00002187849,0.0004474787,0.00005907727,0.00000299239,0.00001541671,0.00002849128,0.01691326,0.9783627,0.0005297642,0.00003418462,0.003557271],"study_design_scores_gemma":[0.00001410006,0.0001345232,0.001484225,0.000009978169,0.00000894294,0.00003784234,0.00002697402,0.2896436,0.7068936,0.000321397,0.0014045,0.00002032788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6694772,0.001198573,0.325893,0.0001400881,0.00003231155,0.0001539503,0.0002883391,0.0004140954,0.002402411],"genre_scores_gemma":[0.9242743,0.0009639279,0.07391264,0.00001466723,0.000006000825,0.0001217847,0.0001089682,0.00002639809,0.0005712656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001482221,"threshold_uncertainty_score":0.004502356,"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."}}