{"id":"W2023244266","doi":"10.1021/ma0018446","title":"Highly Conductive Siloxane Polymers","year":2001,"lang":"en","type":"article","venue":"Macromolecules","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Polymer; Siloxane; Conductivity; Doping; Lithium (medication); Electrolyte; Materials science; Polymer chemistry; Ionic conductivity; Side chain; Conductive polymer; Salt (chemistry); Chemical engineering; Chemistry; Physical chemistry; Composite material; Electrode","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001621045,0.0005024217,0.0001267237,0.0002391413,0.0001173902,0.0002491822,0.0001637731,0.0002534237,0.002312906],"category_scores_gemma":[0.0002573703,0.0001555249,0.0001480772,0.0001877838,0.0001561557,0.000351177,0.0001829939,0.0003497072,0.0008931112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001608533,"about_ca_system_score_gemma":0.0001070732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009321079,"about_ca_topic_score_gemma":0.0003575338,"domain_scores_codex":[0.9998624,0.00002158036,0.0000127772,0.00002599997,0.00004506556,0.00003217734],"domain_scores_gemma":[0.9997385,0.000057272,0.00009407871,0.00001725785,0.0000384844,0.00005447751],"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":[0.00004629157,0.00001467148,0.0001178435,0.00007742929,0.000004188003,0.00004208092,0.00001029621,0.0001162979,0.9962052,0.0002282054,0.00007735445,0.003060311],"study_design_scores_gemma":[0.000009645139,0.0002386709,0.00070803,0.000004222552,0.00000886967,0.0001226291,0.000005087054,0.0002719403,0.9942152,0.00004313443,0.004368574,0.00000406245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681072,0.003927021,0.01917684,0.0001745651,0.0001216016,0.000090174,0.0007318566,0.0003544949,0.007316253],"genre_scores_gemma":[0.9722021,0.002324589,0.01677166,0.0001332955,0.00004026229,0.00005707137,0.0006493386,0.0000357196,0.007786035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002312906,"threshold_uncertainty_score":0.007737398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013162286278306,"score_gpt":0.2642764194547723,"score_spread":0.2441447965919893,"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."}}