{"id":"W2801460466","doi":"10.1139/tcsme-2007-0031","title":"MODELLING AND FABRICATION OF A MECHANICAL CELL STIMULATOR","year":2007,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Fabrication; Biomedical engineering; Surface roughness; Kinematics; Process (computing); Tissue engineering; Planar; Surface finish; Composite material; Cartilage; Mechanical engineering; Computer science; Engineering; Anatomy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0002229754,0.000440646,0.0004102345,0.0002603733,0.0003705973,0.0007303439,0.001022576,0.001333555,0.00294151],"category_scores_gemma":[0.0005216132,0.0004441735,0.0004828863,0.0003190876,0.0005550232,0.0003988306,0.0004379788,0.0003660001,0.000950571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005514525,"about_ca_system_score_gemma":0.001687001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004687808,"about_ca_topic_score_gemma":0.001980814,"domain_scores_codex":[0.9998052,0.00002118541,0.0000103723,0.00004286972,0.00009798593,0.00002251256],"domain_scores_gemma":[0.9998454,0.00006019711,0.00002835965,0.00002021815,0.00003274384,0.00001302341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003735335,0.00001556742,0.0003182766,0.0000903357,0.00000980357,0.0001828713,0.00008375364,0.9521992,0.03762971,0.004038889,0.0002374732,0.005156796],"study_design_scores_gemma":[0.00002118962,0.0000868709,0.0003838601,0.0000144127,0.00001430015,0.0001060816,0.00003449385,0.9763752,0.01499879,0.0008062972,0.007140057,0.00001854353],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1027899,0.0004843262,0.869056,0.0002858002,0.00009002232,0.00020806,0.0006880839,0.001215377,0.02518251],"genre_scores_gemma":[0.7887858,0.0009401261,0.1921779,0.00006754128,0.00001901209,0.0006289062,0.0005383688,0.0001333726,0.01670904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004687808,"threshold_uncertainty_score":0.009840369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654727662491758,"score_gpt":0.2308163785425406,"score_spread":0.214269101917623,"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."}}