{"id":"W2035050389","doi":"10.1002/mats.200700032","title":"Effect of Concentration Gradient on the Morphology Development in Polymer Solutions Undergoing Thermally Induced Phase Separation","year":2007,"lang":"en","type":"article","venue":"Macromolecular Theory and Simulations","topic":"Crystallization and Solubility Studies","field":"Materials Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Morphology (biology); Phase (matter); Polymer; Chemical engineering; Materials science; Chemistry; Chromatography; Composite material; Organic chemistry; Geology","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":[0.0001071854,0.0002461892,0.000211748,0.0001391639,0.0001863771,0.0003752719,0.0001693998,0.0001555978,0.001194224],"category_scores_gemma":[0.0004531002,0.0001895357,0.0001138694,0.0001349596,0.0003001722,0.0002133165,0.0001446904,0.000239015,0.0001295894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003923454,"about_ca_system_score_gemma":0.0002835231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001385048,"about_ca_topic_score_gemma":0.001187942,"domain_scores_codex":[0.9999377,0.000008552229,0.000003033794,0.00001422301,0.00001823006,0.00001831702],"domain_scores_gemma":[0.9998183,0.00009492928,0.00003332525,0.000006456969,0.00002708957,0.00001998879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002661313,0.00005009437,0.0004956554,0.00007520623,0.000009251807,0.0001370637,0.00006222531,0.007972108,0.9874396,0.000541052,0.0000869066,0.002864679],"study_design_scores_gemma":[0.00003987435,0.0001816052,0.001333669,0.000008967601,0.00001108866,0.00003508856,0.00003042822,0.02681697,0.9710381,0.00009125337,0.000400581,0.00001229407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968799,0.0002071238,0.001360883,0.00003965862,0.00000862125,0.00001426003,0.00005224843,0.00004345934,0.001393833],"genre_scores_gemma":[0.9985282,0.0001465104,0.0009513208,0.00001265215,0.000002104139,0.00001031475,0.00002582237,0.00001375273,0.0003092123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001385048,"threshold_uncertainty_score":0.003995121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041328821162514,"score_gpt":0.3174674482673753,"score_spread":0.2970541600557502,"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."}}