{"id":"W2943639702","doi":"10.1021/acsbiomaterials.9b00264","title":"Collagen Type I–Gelatin Methacryloyl Composites: Mimicking the Tumor Microenvironment","year":2019,"lang":"en","type":"article","venue":"ACS Biomaterials Science & Engineering","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gelatin; Self-healing hydrogels; Extracellular matrix; Biomedical engineering; Materials science; Tumor microenvironment; Interstitial fluid; Microfluidics; Biophysics; Chemistry; Nanotechnology; Pathology; Cancer; Medicine; 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":[0.001586388,0.0002390847,0.0002440494,0.0002178939,0.0001564153,0.0002925365,0.001100899,0.0000619651,0.0002383852],"category_scores_gemma":[0.0002059159,0.0001844082,0.00004061397,0.0009615974,0.000264228,0.0002397573,0.0003848337,0.00008437042,0.0007233696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002415857,"about_ca_system_score_gemma":0.00005154939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001692318,"about_ca_topic_score_gemma":5.291568e-7,"domain_scores_codex":[0.9977614,0.00003005329,0.0003539752,0.0003623214,0.000696008,0.0007962395],"domain_scores_gemma":[0.9989805,0.0001891947,0.00004344697,0.0005716481,0.00004480327,0.0001703875],"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":[0.000002962507,0.000006620704,0.0004251259,0.0000429771,0.0000146554,0.000005191897,0.0001650063,0.01834469,0.98057,0.0001456181,0.00008779217,0.0001894091],"study_design_scores_gemma":[0.0001292409,0.00003345471,0.005323575,0.00007840918,0.000007003194,0.00002195033,0.00003994642,0.02148979,0.964945,0.00001039167,0.007684485,0.0002367415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961157,0.0002561582,0.0006869828,0.00009212467,0.001775504,0.0003904209,0.000006829941,0.000344913,0.0003313483],"genre_scores_gemma":[0.9952726,0.0000345187,0.004417393,0.00004954939,0.0001105345,0.00001923789,0.000003632047,0.00004975858,0.00004276445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01562494,"threshold_uncertainty_score":0.9297694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009354449452964764,"score_gpt":0.23089489480568,"score_spread":0.2215404453527152,"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."}}