{"id":"W1560605263","doi":"10.1002/marc.201500066","title":"Responsive Polymer‐Based Assemblies for Sensing Applications","year":2015,"lang":"en","type":"article","venue":"Macromolecular Rapid Communications","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Self-healing hydrogels; Biomolecule; Polymer; Macromolecule; Nanotechnology; Materials science; Poly(N-isopropylacrylamide); Polymer science; Chemistry; Polymer chemistry; Copolymer; Composite material","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005380731,0.0002598826,0.0002283741,0.000146087,0.0005397651,0.00009274596,0.001215237,0.0001895341,0.000007484065],"category_scores_gemma":[0.0003850696,0.0002879835,0.0002036939,0.0003577261,0.0003519432,0.000009777629,0.0004210475,0.0001490336,0.00005976657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006326512,"about_ca_system_score_gemma":0.0004636984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006381927,"about_ca_topic_score_gemma":0.00006000612,"domain_scores_codex":[0.9981838,0.0003387541,0.0004080253,0.0004967038,0.0002032031,0.0003694429],"domain_scores_gemma":[0.9953258,0.0001121073,0.000186409,0.003638935,0.0005470953,0.0001896506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001162364,0.0002824905,0.00003235308,0.00002153943,0.0001647646,9.222777e-7,0.0001501555,0.0001065063,0.9556498,0.002656433,0.003478582,0.03734023],"study_design_scores_gemma":[0.0005726711,0.0001125946,0.00001905664,0.00001283576,0.00007269277,0.00001833423,0.0002130982,0.00269304,0.4750592,0.0005042888,0.5204014,0.0003208166],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03817982,0.02708429,0.9052702,0.01396461,0.0001152068,0.003930277,0.0003981756,0.0003112979,0.01074617],"genre_scores_gemma":[0.9370111,0.0001763674,0.0578234,0.001326522,0.00009131234,0.001748357,0.00117043,0.00009846333,0.0005540209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8988313,"threshold_uncertainty_score":0.9999572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04558315059708856,"score_gpt":0.2981971621390516,"score_spread":0.252614011541963,"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."}}