{"id":"W1545456086","doi":"10.1002/9781118775882.ch15","title":"Bioresponsive Hydrogels and Microgels","year":2014,"lang":"en","type":"other","venue":"","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Self-healing hydrogels; Biosensor; Drug delivery; Biomolecule; Nanotechnology; Polymer; Tissue engineering; Materials science; Gelatin; Chemistry; Biomedical engineering; Polymer chemistry; Biochemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000140555,0.0004701268,0.0001205882,0.0005632975,0.0001358861,0.000357328,0.0002527329,0.0002752723,0.007831598],"category_scores_gemma":[0.0001055046,0.0001433822,0.0001747623,0.0002722296,0.0001900368,0.0004683435,0.0002522646,0.0003181794,0.002944874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002897677,"about_ca_system_score_gemma":0.0001181902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002665472,"about_ca_topic_score_gemma":0.0005637409,"domain_scores_codex":[0.9998777,0.000006901194,0.000008346226,0.00003490373,0.00005176784,0.00002045769],"domain_scores_gemma":[0.9999567,0.00001054087,0.00001196825,0.000005476517,0.00000681955,0.000008539009],"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":[0.0000238075,0.00002501345,0.00003562795,0.0004276347,0.00000421957,0.00012918,0.00002849461,0.0002877365,0.9556292,0.002406923,0.001634794,0.03936731],"study_design_scores_gemma":[0.000006378487,0.0000467541,0.0002427199,0.00002528437,0.000003912332,0.000162139,0.00001242749,0.0004579615,0.9437171,0.0003571579,0.05495919,0.000008840792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3579927,0.1078886,0.1828791,0.001560513,0.001491297,0.0007287044,0.005423272,0.01006682,0.331969],"genre_scores_gemma":[0.5837798,0.04752484,0.09024567,0.00114258,0.0003072106,0.0004551815,0.002265246,0.0007092217,0.2735702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007831598,"threshold_uncertainty_score":0.02619934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00958118166413931,"score_gpt":0.231724625749854,"score_spread":0.2221434440857147,"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."}}