{"id":"W2965112455","doi":"10.3390/mi10080501","title":"3D Printing Breast Tissue Models: A Review of Past Work and Directions for Future Work","year":2019,"lang":"en","type":"review","venue":"Micromachines","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Innovate BC","keywords":"Tissue engineering; Breast cancer; 3D bioprinting; Work (physics); Computer science; Biomedical engineering; Biochemical engineering; Engineering; Medicine; Cancer; Mechanical engineering","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":[0.001578196,0.001126621,0.001590664,0.004477884,0.0003763969,0.001748831,0.001135464,0.001386517,0.003852215],"category_scores_gemma":[0.00154899,0.000660157,0.0008578888,0.003876807,0.0007594711,0.002212389,0.0008834183,0.001827127,0.002901956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007588595,"about_ca_system_score_gemma":0.001000453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001096487,"about_ca_topic_score_gemma":0.001828248,"domain_scores_codex":[0.9995462,0.00007623641,0.00008568801,0.00007673043,0.0001815097,0.00003360917],"domain_scores_gemma":[0.9988741,0.0006975299,0.0001096907,0.00003160059,0.0002311044,0.00005589363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005707168,0.0001132394,0.0001601213,0.03158323,0.00007728842,0.0002122967,0.0001304723,0.0006979797,0.00369687,0.006228948,0.02143678,0.9356058],"study_design_scores_gemma":[0.000008837783,0.000131142,0.0004875782,0.006332665,0.000109226,0.001191015,0.00008973829,0.0002023318,0.001386697,0.00190916,0.9881095,0.00004209529],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009955046,0.9986541,0.0002760471,0.0001293,0.0001449858,0.00000555313,0.00001783844,0.000009793041,0.0006627375],"genre_scores_gemma":[0.0003677065,0.9986591,0.0004157287,0.0001083001,0.00008711654,0.000007673932,0.00002308414,0.000003055511,0.0003283426],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004477884,"threshold_uncertainty_score":0.01288694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03780718646518786,"score_gpt":0.3326897294163928,"score_spread":0.2948825429512049,"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."}}