{"id":"W4210914514","doi":"10.1002/bbb.2344","title":"Production of bio‐polyurethane (<scp>BPU</scp>) foams from greenhouse/agricultural wastes, and their biodegradability","year":2022,"lang":"en","type":"article","venue":"Biofuels Bioproducts and Biorefining","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Western University","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Biodegradation; Polyol; Polyurethane; Fourier transform infrared spectroscopy; Chemistry; Solvent; Residue (chemistry); Thermogravimetric analysis; Waste management; Nuclear chemistry; Petroleum; Materials science; Chemical engineering; Pulp and paper industry; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001682323,0.0002458097,0.0001606904,0.0002038814,0.0001228806,0.0002457858,0.0001155377,0.0002305557,0.0007519152],"category_scores_gemma":[0.0001740146,0.00008701854,0.0001784718,0.0002116499,0.0001487014,0.0002901705,0.0002158175,0.0002347371,0.0002958776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001311243,"about_ca_system_score_gemma":0.0001578207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003048321,"about_ca_topic_score_gemma":0.0008483244,"domain_scores_codex":[0.9998884,0.00002117707,0.000006461562,0.00001729101,0.00004503876,0.00002166547],"domain_scores_gemma":[0.9999261,0.00001347596,0.00002043292,0.000008408396,0.00001538308,0.00001628975],"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":[0.00001598,0.00001217957,0.0001023234,0.00004409116,0.00000307885,0.00004298547,0.000005950984,0.00006941913,0.9964471,0.00004547441,0.00002562809,0.003185726],"study_design_scores_gemma":[0.000001114336,0.00008163723,0.0007510775,0.000004593809,0.000003788113,0.00009883966,0.000009635783,0.0003060093,0.9974342,0.00001955616,0.001287741,0.000001778705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879738,0.002266215,0.006670129,0.00008658811,0.00002868342,0.0000280132,0.0001664971,0.0000966067,0.002683376],"genre_scores_gemma":[0.9908271,0.0007693161,0.006626511,0.00001969567,0.000008511088,0.00001596494,0.0002522581,0.00002136284,0.001459182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007519152,"threshold_uncertainty_score":0.002515376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009487099419807108,"score_gpt":0.1713052853301687,"score_spread":0.1618181859103616,"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."}}