{"id":"W2888583115","doi":"10.1007/978-3-319-92066-5_7-1","title":"Stimuli-Responsive Polymers","year":2018,"lang":"en","type":"book-chapter","venue":"Polymers and polymeric composites","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Stimulus (psychology); Polymer; Materials science; Nanotechnology; Smart polymer; Natural polymers; Biophysics; Chemistry; Psychology; Biology; Composite material; Cognitive psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002487173,0.001159629,0.001249015,0.0003914963,0.0007766681,0.0003774801,0.0007111764,0.0005728512,0.04303644],"category_scores_gemma":[0.00002263916,0.0009798931,0.0003532685,0.00009757625,0.001689972,0.0002451099,0.000465245,0.0004160419,0.003430942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005960848,"about_ca_system_score_gemma":0.0002105326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006355659,"about_ca_topic_score_gemma":0.0000333192,"domain_scores_codex":[0.9962108,0.0001184028,0.0008210113,0.001252968,0.0006577855,0.0009391041],"domain_scores_gemma":[0.9974349,0.0004586525,0.0005677118,0.0009084197,0.0001004123,0.0005298719],"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":[0.001978541,0.0001675349,0.0001124291,0.0004232978,0.0008563271,0.0001663771,0.003629286,6.381162e-7,0.4819693,0.01379689,0.02962053,0.4672788],"study_design_scores_gemma":[0.0006834743,0.0008499114,0.00003858321,0.0006134839,0.0006464717,0.0002149648,0.0002506075,0.000115353,0.5741296,0.001031273,0.4189684,0.002457884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009131019,0.4848036,0.00008127373,0.001580009,0.002138709,0.0004944053,0.001049788,0.0004554476,0.5002658],"genre_scores_gemma":[0.06852152,0.004022722,0.0009284266,0.002648256,0.001670605,0.00005281311,0.0001311687,0.0004128035,0.9216117],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4807808,"threshold_uncertainty_score":0.9992651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0220845528133529,"score_gpt":0.2294895150700645,"score_spread":0.2074049622567116,"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."}}