{"id":"W3007777627","doi":"10.1002/adfm.201909032","title":"Designer Biomaterials to Model Cancer Cell Invasion In Vitro: Predictive Tools or Just Pretty Pictures?","year":2020,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Cancer cell; Stromal cell; Cancer; Metastasis; Cancer metastasis; Cell biology; Cell; Cell adhesion; Cancer-Associated Fibroblasts; In vitro; Tumor microenvironment; Cancer research; Cell migration; Biology; Genetics","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":[0.0009081158,0.0005284497,0.0003199247,0.0003007436,0.0002182831,0.001067371,0.0006226007,0.0009571093,0.001184182],"category_scores_gemma":[0.0009330555,0.0004309996,0.0003720896,0.0002090802,0.0007749401,0.001073652,0.0004884623,0.001081143,0.000555526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003591283,"about_ca_system_score_gemma":0.0003032699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004018984,"about_ca_topic_score_gemma":0.00069899,"domain_scores_codex":[0.9996859,0.0001123532,0.00001843752,0.00002836416,0.0001287366,0.00002618872],"domain_scores_gemma":[0.9994948,0.0002497954,0.00007643881,0.0000872966,0.00006493442,0.00002667245],"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":[0.0001868938,0.0003140706,0.001446178,0.00143997,0.00006022851,0.0005471273,0.000374067,0.05101125,0.8195227,0.06913716,0.005230359,0.05073008],"study_design_scores_gemma":[0.00007250765,0.001045996,0.0008605217,0.0003386806,0.0001005853,0.0007868743,0.0003739558,0.1424883,0.7104816,0.02969312,0.1136111,0.000146746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2140955,0.05129078,0.6935709,0.00991032,0.002696856,0.0005097147,0.0007847252,0.001651246,0.02548995],"genre_scores_gemma":[0.6688657,0.03317449,0.2837199,0.001549599,0.0002826005,0.0006848458,0.0003811287,0.0002085071,0.01113306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001184182,"threshold_uncertainty_score":0.004802644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04767712597811307,"score_gpt":0.2768557552141028,"score_spread":0.2291786292359897,"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."}}