{"id":"W4255241020","doi":"10.1002/pol.20200022","title":"Issue Information ‐ Cover Description","year":2020,"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":"Western University; University of Guelph; McMaster University","funders":"","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":[0.0006820739,0.0001882474,0.0003356732,0.0003516973,0.000301431,0.000623908,0.00110374,0.0001058382,0.006553152],"category_scores_gemma":[0.000116259,0.0001538408,0.0001201627,0.0007603848,0.0004307068,0.002586874,0.0001536365,0.0003537032,0.01898113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001335305,"about_ca_system_score_gemma":0.001221857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005917898,"about_ca_topic_score_gemma":4.62405e-7,"domain_scores_codex":[0.9977182,0.00003604018,0.000760448,0.0002006953,0.0009767564,0.0003078784],"domain_scores_gemma":[0.997627,0.00003668744,0.001381893,0.0002701962,0.0004239171,0.0002602889],"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":[0.00001125703,0.00001596761,0.000001436368,0.00002379181,0.000003977872,0.000001349621,0.0005837169,0.00001609025,0.6589937,0.00006899788,0.3365797,0.003700009],"study_design_scores_gemma":[0.0001298308,0.00007905606,0.00001026923,0.00006788364,0.00002585577,0.00007017987,0.0001591768,0.00003201621,0.6299559,0.00001587891,0.3693044,0.0001495382],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3583012,0.04238648,0.06064942,0.03782011,0.1625132,0.00157701,0.0009002005,0.0001938298,0.3356586],"genre_scores_gemma":[0.85918,0.0007069329,0.003104505,0.006694799,0.006775293,0.00002173219,0.0000401885,0.00005969169,0.1234169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5008788,"threshold_uncertainty_score":0.994355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387810122642548,"score_gpt":0.2825197370960275,"score_spread":0.258641635869602,"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."}}