{"id":"W4386089815","doi":"10.1021/acs.langmuir.3c01209","title":"Gels of Semiconducting Polymers in Benign Solvents","year":2023,"lang":"en","type":"article","venue":"Langmuir","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Office of Integrative Activities; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Canada Foundation for Innovation; University of Windsor","keywords":"Polymer; Side chain; Conjugated system; Materials science; Polymer chemistry; Chemical engineering; Dispersion (optics); Chemistry; Composite material","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":[0.0001785834,0.00005273549,0.0001021711,0.00008390166,0.00004649685,0.000009872805,0.0001330459,0.00002991173,0.0004814314],"category_scores_gemma":[0.00002139073,0.00005055424,0.00002695819,0.0003593031,0.00003543583,0.00005558573,0.00005391458,0.00004392416,0.000157704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001013782,"about_ca_system_score_gemma":0.00001448761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004021194,"about_ca_topic_score_gemma":0.00002795256,"domain_scores_codex":[0.9994087,0.00001752439,0.0001586666,0.0001442158,0.00009283245,0.0001780924],"domain_scores_gemma":[0.9997274,0.0000416116,0.00006162924,0.0001363185,0.00001035038,0.00002273017],"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":[0.000001312986,0.00002062922,0.001081562,0.000008876152,0.000001323831,0.000001674785,0.0007748838,0.000009340637,0.9953449,0.0003158878,0.0003649282,0.00207473],"study_design_scores_gemma":[0.0001662245,0.000009605909,0.004289464,0.00002193129,0.000003655554,0.000001938345,0.001347435,0.00003687371,0.9920209,0.0002405813,0.001774753,0.0000866575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975771,0.0000654026,0.000007716103,0.0003368657,0.0001354556,0.00006066365,0.0000161923,0.00007697947,0.001723593],"genre_scores_gemma":[0.9985519,0.000003464048,0.00011907,0.00003593632,0.00004584828,0.00001436435,0.000008927943,0.000008584067,0.001211878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00332397,"threshold_uncertainty_score":0.5271336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03893455220431218,"score_gpt":0.2961749259668854,"score_spread":0.2572403737625732,"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."}}