{"id":"W2133693065","doi":"10.1002/mame.201200030","title":"Green Composites From Soy‐Based Biopolyurethane With Microcrystalline Cellulose","year":2012,"lang":"en","type":"article","venue":"Macromolecular Materials and Engineering","topic":"Polymer composites and self-healing","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ministry of Education, India; Ministry of Earth Sciences","keywords":"Materials science; Microcrystalline cellulose; Polyol; Composite material; Thermal stability; Compression molding; Cellulose; Composite number; Petrochemical; Soybean oil; Fourier transform infrared spectroscopy; Compounding; Chemical engineering; Polyurethane; Organic chemistry","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":[0.0001093459,0.0004262883,0.0001997188,0.0003295885,0.0001154582,0.0001982819,0.0001635179,0.0002056265,0.0007083441],"category_scores_gemma":[0.00007464665,0.0002078708,0.0002625225,0.0001343302,0.000142774,0.0001755143,0.0001793396,0.0003600643,0.0003324372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001678191,"about_ca_system_score_gemma":0.0001316963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003627547,"about_ca_topic_score_gemma":0.001069581,"domain_scores_codex":[0.9999263,0.000007413524,0.000003334387,0.0000122057,0.00003202989,0.00001866479],"domain_scores_gemma":[0.9998982,0.00002076146,0.00003006811,0.000009117437,0.00001153127,0.00003034854],"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":[0.00001353293,0.000003954363,0.00001362964,0.00001491027,0.000001357759,0.00003397341,0.000003876791,0.00001812679,0.9994337,0.00001459991,0.000008395372,0.0004399513],"study_design_scores_gemma":[0.000002292136,0.00004144709,0.0004491927,0.000002437287,0.000003595672,0.00006661932,0.000003326024,0.0001647243,0.998666,0.000008243567,0.0005904642,0.000001703796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801818,0.002382112,0.01333754,0.0000675355,0.00005915754,0.00004426835,0.0002295875,0.0003569426,0.003341272],"genre_scores_gemma":[0.9757738,0.001144634,0.01869045,0.00007204172,0.00001783943,0.00003740035,0.000272154,0.00007936449,0.003912439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007083441,"threshold_uncertainty_score":0.002369642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005415567422817832,"score_gpt":0.1807769855587311,"score_spread":0.1753614181359133,"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."}}