{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001402665,0.0003548204,0.0001093133,0.0001701103,0.00009301749,0.0002358136,0.0001757394,0.000251768,0.0003250297],"category_scores_gemma":[0.0001072179,0.0001320137,0.0001423344,0.0001117412,0.000146197,0.000190773,0.000124213,0.0001985945,0.0001384967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002366368,"about_ca_system_score_gemma":0.000211042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008135197,"about_ca_topic_score_gemma":0.001429779,"domain_scores_codex":[0.9998963,0.00001501236,0.000008662068,0.00003097658,0.00002536639,0.00002357037],"domain_scores_gemma":[0.9999015,0.00002121104,0.00004155242,0.000006859378,0.000009184019,0.0000196622],"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":[0.000007346253,0.000003386734,0.00004473396,0.00001625907,7.89533e-7,0.00001658868,0.000004244097,0.00004978359,0.9994361,0.00002011289,0.000005823953,0.0003947538],"study_design_scores_gemma":[0.000004558121,0.00009528325,0.001072504,0.000002168125,0.000005549319,0.0001670617,0.00000633377,0.0008914449,0.9964444,0.00001025862,0.001296716,0.000003743048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690378,0.003332509,0.02516932,0.0001629871,0.00006544011,0.00009165,0.0003150618,0.0002116447,0.001613681],"genre_scores_gemma":[0.973582,0.001417577,0.02351679,0.0000563668,0.00001952089,0.00006497537,0.0001819027,0.00001899234,0.001141989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008135197,"threshold_uncertainty_score":0.001716912,"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."}}