{"id":"W4200472143","doi":"10.1201/9781003076131-73","title":"Microcellular Wood-Fiber Thermoplastics Composites: Processing-Structure-Properties","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Polymer Foaming and Composites","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Composite material; Materials science; Fiber","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":[0.00005058636,0.000438856,0.0002687556,0.0003923139,0.0001074552,0.0003972171,0.0002659621,0.0002433519,0.005375293],"category_scores_gemma":[0.00005980095,0.0001890958,0.0001687052,0.0008063368,0.0001222392,0.0006071849,0.0002255905,0.0004513522,0.003194043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001691907,"about_ca_system_score_gemma":0.0001219999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002073474,"about_ca_topic_score_gemma":0.0004711061,"domain_scores_codex":[0.9999644,0.000001880862,0.000001182867,0.000009440543,0.00002046687,0.000002649627],"domain_scores_gemma":[0.9999746,0.00001112861,0.000002953483,0.000002257486,0.000006517487,0.000002477851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007979347,0.0001801136,0.0002103417,0.001636594,0.00001427056,0.0001540326,0.0001628108,0.004308174,0.3723603,0.01291252,0.01328228,0.5946987],"study_design_scores_gemma":[0.00001151009,0.0003873076,0.003664812,0.0002799923,0.00003937271,0.001491504,0.00005510725,0.00715672,0.2010901,0.01019438,0.7755926,0.00003665394],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.09904998,0.4789347,0.1087378,0.0006663467,0.001097053,0.0001960016,0.001248295,0.001671398,0.3083984],"genre_scores_gemma":[0.1574366,0.1849862,0.06499315,0.0003826693,0.0005061047,0.0001665993,0.001099426,0.0004253744,0.5900038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005375293,"threshold_uncertainty_score":0.01798218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01567558151698925,"score_gpt":0.1931298931217634,"score_spread":0.1774543116047742,"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."}}