{"id":"W2955060264","doi":"10.3390/pr7070398","title":"Special Issue “Renewable Polymers: Processing and Chemical Modifications”","year":2019,"lang":"en","type":"article","venue":"Processes","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Waterloo","funders":"","keywords":"Renewable energy; Renewable resource; Production (economics); Natural resource economics; Polymer; Environmental economics; Environmental science; Biochemical engineering; Engineering; Economics; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010888,0.0001291747,0.0001687134,0.00003790562,0.0001343114,0.0002259393,0.0001907198,0.00006256619,0.00276627],"category_scores_gemma":[0.0000640965,0.00009892781,0.00001469636,0.0001579325,0.0001062169,0.0003944779,0.00005796187,0.00004700085,0.0003940731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001068169,"about_ca_system_score_gemma":0.0001294951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001527625,"about_ca_topic_score_gemma":0.00000993722,"domain_scores_codex":[0.9990871,0.00001588887,0.000168185,0.0003193514,0.0001728455,0.0002366557],"domain_scores_gemma":[0.9995927,0.00004154917,0.0000705216,0.0001532727,0.00007685117,0.00006515843],"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":[0.0001040025,0.00012566,0.001017181,0.002497768,0.000008483571,9.777941e-7,0.001981047,0.000003004048,0.7951618,0.00007714771,0.005299938,0.1937229],"study_design_scores_gemma":[0.0001039866,0.00001757895,0.00001640065,0.00006651523,0.00001056243,0.000006969849,0.0003263582,0.00008537694,0.9007328,0.00014041,0.09833326,0.0001597895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7274895,0.1291171,0.0002173193,0.002916451,0.0009570767,0.0004348811,0.00003511359,0.0003473959,0.1384852],"genre_scores_gemma":[0.9897974,0.0002961252,0.001355412,0.0001851587,0.001774,0.00003640527,0.000003266187,0.00002076626,0.006531462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2623079,"threshold_uncertainty_score":0.9981453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02177552679254265,"score_gpt":0.234079934841541,"score_spread":0.2123044080489984,"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."}}