{"id":"W4246776002","doi":"10.1007/s11746-006-1006-4","title":"Physical Properties of Polyurethanes Produced from Polyols from Seed Oils: I. Elastomers","year":2006,"lang":"en","type":"article","venue":"Journal of the American Oil Chemists Society","topic":"Polymer composites and self-healing","field":"Materials Science","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Archer Daniels Midland","keywords":"Canola; Thermogravimetric analysis; Differential scanning calorimetry; Elastomer; Polyurethane; Polyol; Materials science; Glass transition; Hexamethylene diisocyanate; Ultimate tensile strength; Dynamic mechanical analysis; Soybean oil; Hydroxyl value; Polymer chemistry; Nuclear chemistry; Chemistry; Chemical engineering; Organic chemistry; Polymer; Composite material; Food 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":[],"consensus_categories":[],"category_scores_codex":[0.000225774,0.0002042537,0.0005922508,0.00001490843,0.0001245077,0.00005781864,0.000674191,0.0000445094,0.00001239436],"category_scores_gemma":[0.00005544728,0.0001276928,0.0005479778,0.0002366355,0.0005720943,0.0001404775,0.0001275511,0.0002729646,0.000003241471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000106765,"about_ca_system_score_gemma":0.0001703907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004055541,"about_ca_topic_score_gemma":0.000006376275,"domain_scores_codex":[0.9982443,0.00009489439,0.0005218681,0.0002302614,0.0006136351,0.0002950538],"domain_scores_gemma":[0.9978946,0.000109975,0.001386435,0.0003627928,0.0001584176,0.00008778946],"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":[0.0001225063,0.0001553946,0.00121035,0.00002660625,0.000075846,0.000001345679,0.002075648,0.0000987991,0.9954525,0.00000127561,0.000291536,0.0004881625],"study_design_scores_gemma":[0.0003801516,0.00004600236,0.002258078,0.0001499413,0.0001055927,0.00001071719,0.0008898067,0.0002509487,0.9955979,0.00007940368,0.00007291726,0.0001585457],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997245,0.001291963,0.00001873423,0.001028762,0.0002321181,0.0000303706,0.0000427954,0.00002142098,0.00008880124],"genre_scores_gemma":[0.9965416,0.0000436395,0.001985931,0.000255731,0.001030282,0.000001924946,0.00000191885,0.00002349125,0.00011545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004049165,"threshold_uncertainty_score":0.6130792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007823499615770967,"score_gpt":0.2150578914157084,"score_spread":0.2072343917999375,"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."}}