{"id":"W4386370584","doi":"10.1002/pol.20230586","title":"Issue Information ‐ Cover Description","year":2023,"lang":"en","type":"paratext","venue":"Journal of Polymer Science","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"University of Colorado Boulder; Stony Brook University; University at Buffalo; Imperial College London; Korea Advanced Institute of Science and Technology; University of Science and Technology of China; South China University of Technology; Peking University; East China University of Science and Technology; University of North Carolina at Chapel Hill; Seoul National University; University of Warwick; Gyeongsang National University; Indian Institute of Technology Kanpur; University of Notre Dame; Massachusetts Institute of Technology","keywords":"Cover (algebra); Citation; Information retrieval; Computer science; World Wide Web; Library science; Engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001246214,0.0001829516,0.0003124121,0.0006543529,0.0003582817,0.0006272622,0.001076047,0.0001193969,0.004820115],"category_scores_gemma":[0.0001314118,0.0001492031,0.0001194831,0.001060537,0.0004510165,0.00244344,0.0001618085,0.000313301,0.04619643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001562001,"about_ca_system_score_gemma":0.001109949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001239838,"about_ca_topic_score_gemma":0.000001490299,"domain_scores_codex":[0.9975794,0.00003466535,0.0007751518,0.0001944389,0.001047377,0.000368975],"domain_scores_gemma":[0.9976184,0.00006051018,0.001314191,0.0003334883,0.0004826862,0.0001906926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007014837,0.00001515332,0.000001253813,0.0000223061,0.000004117092,0.000001412322,0.0004273495,0.00003045516,0.4914309,0.00005986778,0.5042996,0.00370053],"study_design_scores_gemma":[0.0001609973,0.00007605124,0.00003504408,0.0001389816,0.0000312817,0.00008360339,0.0002680527,0.00003604349,0.7086688,0.00003766673,0.2902583,0.0002052419],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5408771,0.01801769,0.01881789,0.01122551,0.2073321,0.001110663,0.000730896,0.0002485947,0.2016396],"genre_scores_gemma":[0.3792335,0.0009860205,0.001444495,0.002182727,0.006029669,0.00003460573,0.00004791968,0.00008570187,0.6099554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4083158,"threshold_uncertainty_score":0.9960896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02796126186949352,"score_gpt":0.2988249225265098,"score_spread":0.2708636606570162,"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."}}