{"id":"W4392881686","doi":"10.1002/app.55429","title":"New perspectives on poly(lauryllactam) <scp>PA12</scp>: Optimization of process parameters for <scp>AROP</scp> of ω‐lauryllactam","year":2024,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University; Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency; Mitacs; Canada Foundation for Innovation","keywords":"Process (computing); Materials science; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003873449,0.0003352833,0.0005671461,0.0005313567,0.0001521541,0.0001496378,0.0007953933,0.0001549755,0.00004661837],"category_scores_gemma":[0.00026044,0.0002861807,0.0002572928,0.001052202,0.0004140894,0.0006721946,0.0000595895,0.0002932193,0.00000348773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001266382,"about_ca_system_score_gemma":0.0007958108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005791617,"about_ca_topic_score_gemma":3.647374e-7,"domain_scores_codex":[0.9970372,0.0000132202,0.0009359141,0.0005163802,0.001008792,0.0004885226],"domain_scores_gemma":[0.997068,0.0007304954,0.001198385,0.0003647073,0.0003511388,0.0002872215],"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":[0.00009917012,0.0002327786,0.00008521925,0.0003850818,0.0001309844,0.000003905747,0.008695426,0.002365154,0.9641857,0.00306721,0.0003621065,0.02038726],"study_design_scores_gemma":[0.0004642027,0.0001907317,0.00005481618,0.0003406873,0.000117461,0.00002243631,0.007619632,0.003160097,0.9872674,0.0002484256,0.0004299258,0.00008414713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9339889,0.007664456,0.04609802,0.0001607485,0.0006529916,0.0002881476,0.00008646692,0.00007627292,0.01098398],"genre_scores_gemma":[0.991768,0.0002533227,0.00679078,0.0000503775,0.0003220553,0.00001377762,0.000006071385,0.00005632927,0.0007393073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05777906,"threshold_uncertainty_score":0.9999591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004762775620027,"score_gpt":0.2582043702794299,"score_spread":0.2481567425232297,"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."}}