{"id":"W2008231812","doi":"10.1002/pen.10052","title":"Prediction of water solubility in nylon melts based on flory‐huggins theory","year":2003,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"DuPont (Canada); Queen's University","funders":"","keywords":"Solubility; Materials science; Thermodynamics; Polyamide; Flory–Huggins solution theory; Nylon 6; Hildebrand solubility parameter; Polymerization; Nylon 66; Polymer chemistry; Polymer; Physical chemistry; Chemistry; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003774645,0.0004912026,0.0005253062,0.0004462267,0.0002153254,0.0002774354,0.0003867664,0.0005436951,0.0004842479],"category_scores_gemma":[0.001320985,0.000347519,0.0005861279,0.0002115382,0.0003883887,0.0006879872,0.0002069372,0.0004626869,0.0001953855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007548933,"about_ca_system_score_gemma":0.0003168677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002576924,"about_ca_topic_score_gemma":0.001143957,"domain_scores_codex":[0.9998776,0.00002417876,0.000004642942,0.00002263077,0.00004712657,0.00002387142],"domain_scores_gemma":[0.9996672,0.0002463715,0.0000299762,0.00001466598,0.00002907438,0.00001270961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002112342,0.00005626804,0.00314861,0.0001065551,0.00002956756,0.0001709809,0.00008306801,0.8533478,0.1302403,0.00536829,0.0001831522,0.007054161],"study_design_scores_gemma":[0.00001542614,0.00006199511,0.0006451164,0.00000311439,0.000004895247,0.00001449964,0.000008037287,0.971126,0.02689738,0.001046762,0.0001683047,0.000008405094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9085706,0.0003715917,0.08924105,0.00008134638,0.00001499113,0.00003090377,0.0001198478,0.0002093385,0.001360364],"genre_scores_gemma":[0.9957528,0.000172724,0.003502166,0.000006037601,0.00000521753,0.00003077669,0.00007399276,0.00002581095,0.0004304641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002576924,"threshold_uncertainty_score":0.00547713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436225114865059,"score_gpt":0.1961252940236093,"score_spread":0.1817630428749587,"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."}}