{"id":"W4224087057","doi":"10.1007/s10853-022-07179-8","title":"Preparation and characterization of PVA/PVP conductive hydrogels formed by freeze–thaw processes as a promising material for sensor applications","year":2022,"lang":"en","type":"article","venue":"Journal of Materials Science","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Materials science; Self-healing hydrogels; Gauge factor; Vinyl alcohol; Polymer; Composite material; Biocompatible material; Chemical engineering; Nanotechnology; Polymer chemistry; Fabrication","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":[0.000255729,0.0002125464,0.0001167398,0.0001933722,0.0001488765,0.0002030841,0.0001719304,0.0002612444,0.0005571537],"category_scores_gemma":[0.0002794781,0.0001420662,0.0001662707,0.0001496579,0.000159601,0.000286876,0.00008821942,0.0003233452,0.0001285082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001012015,"about_ca_system_score_gemma":0.0001048264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001598226,"about_ca_topic_score_gemma":0.0003293285,"domain_scores_codex":[0.9999154,0.000009320176,0.000007342679,0.00002076245,0.0000307095,0.0000163891],"domain_scores_gemma":[0.9998624,0.00004501028,0.0000340961,0.00001284994,0.00002799193,0.00001756326],"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":[0.00001758882,0.000007416557,0.00004039962,0.0000185663,0.000001360634,0.00002227055,0.000009255723,0.00005454134,0.9991409,0.00002227497,0.00001026329,0.0006551594],"study_design_scores_gemma":[0.000001961259,0.0000614339,0.0006525982,0.000002036922,0.000003487025,0.00005060113,0.000005960345,0.0004187567,0.9984621,0.00001096228,0.0003279439,0.000002312948],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792624,0.001188539,0.01820297,0.00008093708,0.00003875689,0.00005131463,0.0002404267,0.00006351837,0.0008711893],"genre_scores_gemma":[0.9885135,0.0005557265,0.009535178,0.00004051631,0.0000105503,0.00003811356,0.0002027599,0.00003194515,0.001071692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005571537,"threshold_uncertainty_score":0.001863897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258480537886492,"score_gpt":0.261500901290076,"score_spread":0.2489160959112111,"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."}}