{"id":"W2964684569","doi":"10.1021/acsbiomaterials.9b00505","title":"A Visible Light-Cross-Linkable, Fibrin–Gelatin-Based Bioprinted Construct with Human Cardiomyocytes and Fibroblasts","year":2019,"lang":"en","type":"article","venue":"ACS Biomaterials Science & Engineering","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; International Collaboration On Repair Discoveries; University of Victoria","funders":"National Heart, Lung, and Blood Institute; University of Texas at El Paso; British Columbia Innovation Council; Mitacs; Division of Materials Research; Canada Research Chairs; National Institute of General Medical Sciences; Stem Cell Network; Natural Sciences and Engineering Research Council of Canada; Bill and Melinda Gates Foundation","keywords":"Gelatin; Fibrin; Construct (python library); Biomedical engineering; Materials science; Computer science; Chemistry; Medicine; Immunology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004385833,0.0003217512,0.0005365435,0.0004292095,0.0001514417,0.0001731619,0.0001695392,0.00009070461,0.00006478919],"category_scores_gemma":[0.00007071465,0.0002326965,0.00003990321,0.0007173039,0.0003787249,0.0002137091,0.00008047597,0.00008265974,0.00002668909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008248987,"about_ca_system_score_gemma":0.0001375089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003679109,"about_ca_topic_score_gemma":7.210385e-7,"domain_scores_codex":[0.9981233,0.00001176372,0.000327005,0.0005559894,0.0004411408,0.0005407486],"domain_scores_gemma":[0.999014,0.00004036053,0.00007839652,0.00043529,0.0001536776,0.0002783253],"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":[0.00002861435,0.00001228096,0.01259656,0.0001909247,0.00003693266,0.00003022484,0.00008946551,0.005224418,0.9811295,0.0005968646,0.000006069435,0.00005814468],"study_design_scores_gemma":[0.001482808,0.0005306786,0.04568829,0.0007195158,0.00003891537,0.0002636421,0.00002746398,0.003013179,0.9472745,0.000001734931,0.0006679924,0.0002912928],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968314,0.0005263793,0.00110058,0.0001313399,0.0005236391,0.0004400797,0.000008465165,0.0003188975,0.0001192233],"genre_scores_gemma":[0.9933605,0.000005020093,0.006058255,0.00001305874,0.0001811947,0.00001613358,0.00001239097,0.00004363802,0.0003097728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03385501,"threshold_uncertainty_score":0.9489089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006318069589890249,"score_gpt":0.2492340968158357,"score_spread":0.2429160272259455,"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."}}