{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001055835,0.0002151948,0.0002396674,0.00003514823,0.00007254561,0.00006174682,0.0001360552,0.0001461888,0.000850514],"category_scores_gemma":[0.0001411557,0.000182632,0.00005506967,0.00009830169,0.0000149944,0.00003477119,0.000140065,0.00003809936,0.00003350442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006401481,"about_ca_system_score_gemma":0.0001186183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003358011,"about_ca_topic_score_gemma":0.00002641619,"domain_scores_codex":[0.9986684,0.00006578163,0.0003540261,0.0005115392,0.0001498377,0.0002503726],"domain_scores_gemma":[0.9994276,0.00001837624,0.0001106642,0.0001999955,0.000102583,0.0001407439],"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":[0.004477505,0.00005738323,0.000002843088,0.00003223217,0.00002254625,0.000002736705,0.00006108708,0.01340376,0.9799798,0.00004414949,0.00165141,0.0002645895],"study_design_scores_gemma":[0.0006614301,0.0003504906,0.0000839093,0.00002256942,0.00001844638,0.000003160985,0.00006828282,0.0005495647,0.9924968,0.00006316091,0.005454527,0.0002275813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659104,0.0001522099,0.03057473,0.000500401,0.001048325,0.0006381673,0.0009490027,0.00003051857,0.000196245],"genre_scores_gemma":[0.993318,0.000184251,0.002343852,0.002230158,0.0004631958,0.0003640054,0.0006076631,0.00003951173,0.0004493734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02823088,"threshold_uncertainty_score":0.9312532,"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."}}