{"id":"W2038356358","doi":"10.1115/1.3123331","title":"Modeling of Flow Rate, Pore Size, and Porosity for the Dispensing-Based Tissue Scaffolds Fabrication","year":2009,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Saskatchewan Health Research Foundation","keywords":"Fabrication; Scaffold; Porosity; Materials science; Ultimate tensile strength; Volumetric flow rate; Process (computing); Compressive strength; Composite material; Biomedical engineering; Computer science; Engineering; Mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003587479,0.000722227,0.0007531167,0.0005033608,0.000285577,0.0007676336,0.001011909,0.001981038,0.001119828],"category_scores_gemma":[0.00121429,0.0004420238,0.0008695029,0.0003654224,0.0003695056,0.0007557739,0.0002568335,0.0006132337,0.0003393129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009667861,"about_ca_system_score_gemma":0.001365865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00864685,"about_ca_topic_score_gemma":0.004735958,"domain_scores_codex":[0.9998232,0.00003014964,0.00001069856,0.00003869327,0.00007117358,0.00002615836],"domain_scores_gemma":[0.999615,0.0002469003,0.00005581668,0.00001751455,0.00004913212,0.00001576772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003301987,0.00004176333,0.0004050194,0.0001030333,0.000007544881,0.00009806921,0.00003858905,0.9679847,0.02143725,0.004970634,0.0001899441,0.004690352],"study_design_scores_gemma":[0.000004193515,0.00001217427,0.00007248796,0.000003705012,0.000004049973,0.00002157903,0.000002954423,0.9963723,0.00271854,0.0003152156,0.0004678053,0.000004910277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08271989,0.0009503878,0.9077443,0.0003001285,0.00007622395,0.0001779251,0.000486185,0.0005404364,0.007004386],"genre_scores_gemma":[0.8589923,0.002201099,0.1298502,0.00008175077,0.00003052671,0.0005973077,0.0003739125,0.0001417263,0.007731221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00864685,"threshold_uncertainty_score":0.01719302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008620060843465662,"score_gpt":0.2192507339289554,"score_spread":0.2106306730854898,"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."}}