{"id":"W4393623090","doi":"10.1007/978-981-97-2000-2_9","title":"Plant Fibers as Polymer Reinforcement: Evolution of Selection Criteria","year":2024,"lang":"en","type":"book-chapter","venue":"Springer Proceedings in Materials","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Reinforcement; Selection (genetic algorithm); Polymer science; Polymer; Materials science; Composite material; Computer science; Artificial intelligence","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006394134,0.0006336651,0.0008774559,0.0007973384,0.00007702231,0.0003368307,0.0005143134,0.0006039193,0.006081866],"category_scores_gemma":[0.00004145813,0.0006091442,0.000144411,0.0001407124,0.0001494101,0.0005018397,0.0003972329,0.0003430064,0.001083591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006372653,"about_ca_system_score_gemma":0.0001168606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002829087,"about_ca_topic_score_gemma":0.000004610298,"domain_scores_codex":[0.9966807,0.000008570349,0.001294675,0.0008016407,0.0006682411,0.0005461643],"domain_scores_gemma":[0.9987422,0.0000337055,0.0006970314,0.0002184079,0.000210024,0.00009863427],"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":[0.0001824653,0.000004463705,0.000003820403,0.0008528988,0.00003124537,0.000007033952,0.0001659061,0.000005926553,0.7309035,0.2673111,0.0005092552,0.00002239607],"study_design_scores_gemma":[0.0002430142,0.0001856972,0.0000089687,0.002188389,0.000102244,0.00006830715,0.00001859077,0.00002376486,0.962706,0.02658728,0.00727307,0.0005947126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5862682,0.001975955,0.00001594901,0.0001244048,0.004793266,0.001499593,0.0002630389,0.0005603587,0.4044992],"genre_scores_gemma":[0.7683162,0.0001231716,0.0006619758,0.00005435021,0.0007490302,0.00007462333,0.0000696172,0.0001905079,0.2297605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2407238,"threshold_uncertainty_score":0.9996942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103764331147886,"score_gpt":0.2421143117414169,"score_spread":0.231076668429938,"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."}}