{"id":"W2971695776","doi":"10.1039/c9sm01254k","title":"Imine and metal–ligand dynamic bonds in soft polymers for autonomous self-healing capacitive-based pressure sensors","year":2019,"lang":"en","type":"article","venue":"Soft Matter","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Capacitive sensing; Materials science; Polymer; Imine; Self-healing; Nanotechnology; Work (physics); Self-healing material; Soft materials; Ligand (biochemistry); Metal; Composite material; Chemistry; Computer science; Organic chemistry; Mechanical engineering; Engineering; Metallurgy","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":[0.0001061846,0.0002094274,0.0002986413,0.00008763893,0.00004055013,0.00003946125,0.0000645236,0.0001024724,0.0001384433],"category_scores_gemma":[0.00001262097,0.0002159486,0.00003973729,0.00005457145,0.00002907783,0.0001253114,0.00001403238,0.00009591068,0.00004795822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003144052,"about_ca_system_score_gemma":0.00001078058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004750152,"about_ca_topic_score_gemma":0.00002208335,"domain_scores_codex":[0.9990836,0.00001805024,0.0002163659,0.0002529482,0.00007216774,0.0003568202],"domain_scores_gemma":[0.9995939,0.0001176331,0.00003838417,0.0001700215,0.00001762701,0.00006240011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000595858,0.00002767682,0.003566368,0.001214756,0.000115884,0.000009516033,0.0009379113,0.5446558,0.4481392,0.0000245883,0.0002270194,0.00102174],"study_design_scores_gemma":[0.003653822,0.0001335447,0.009529894,0.000283107,0.000186726,0.00003769572,0.0002568268,0.8472741,0.1260678,0.000473567,0.01077338,0.00132954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942626,0.0003250404,0.003921143,0.0001295591,0.0002559798,0.000263026,0.00005758768,0.0002907765,0.0004942383],"genre_scores_gemma":[0.9951848,0.000005853796,0.003000312,0.0001980652,0.00003987761,0.00002417816,0.00003307885,0.00007825298,0.001435622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3220714,"threshold_uncertainty_score":0.8806128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005790033973853637,"score_gpt":0.2097323035671935,"score_spread":0.2039422695933399,"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."}}