{"id":"W4308199516","doi":"10.1002/ppap.202270031","title":"Issue Information: Plasma Process. Polym. 11/2022","year":2022,"lang":"en","type":"paratext","venue":"Plasma Processes and Polymers","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Process (computing); Materials science; Plasma; Process engineering; Polymer science; Computer science; Engineering; Physics","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006879155,0.0009861833,0.00107124,0.0005346199,0.001160716,0.001277815,0.002018355,0.0004477391,0.1166383],"category_scores_gemma":[0.0005466049,0.0009465567,0.0001054802,0.001406807,0.0007493532,0.002496565,0.001019171,0.0005818178,0.01240299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001785937,"about_ca_system_score_gemma":0.002420064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003612952,"about_ca_topic_score_gemma":0.00004829664,"domain_scores_codex":[0.9945593,0.00009164976,0.001207407,0.001252604,0.001643387,0.001245631],"domain_scores_gemma":[0.9969136,0.0003551386,0.001191891,0.0007538605,0.0003452158,0.0004403693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001234447,0.0005016636,0.00006696864,0.04217558,0.0001930713,0.00009397855,0.01594658,0.001455964,0.02669891,0.0006256231,0.8879814,0.02302578],"study_design_scores_gemma":[0.0006790126,0.0002041825,0.000001731265,0.0002271187,0.0001040451,0.0003312385,0.002085893,0.0001913422,0.1594737,0.00008669307,0.8353403,0.001274801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4106063,0.03906199,0.0005711921,0.005714669,0.07890151,0.004636473,0.0192877,0.001630339,0.4395899],"genre_scores_gemma":[0.467405,0.01516537,0.001775797,0.007280629,0.005923585,0.004400254,0.008263623,0.0007758209,0.4890099],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1327748,"threshold_uncertainty_score":0.999759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008961710608973121,"score_gpt":0.2500173920048186,"score_spread":0.2410556813958455,"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."}}