{"id":"W4406700493","doi":"10.3390/textiles5010005","title":"Development of Thermally Insulating Nonwovens from Milkweed Fibers Using an Air-Laid Spike Process","year":2025,"lang":"en","type":"article","venue":"Textiles","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Mitacs","keywords":"Spike (software development); Materials science; Composite material; Process (computing); Computer science","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":[0.0001456491,0.0003684475,0.0001710679,0.0002215929,0.0000961997,0.0002206219,0.000173912,0.0002499176,0.0005099049],"category_scores_gemma":[0.000211236,0.0001881197,0.000322415,0.0001887346,0.000115957,0.000380008,0.0002250755,0.0004438706,0.0001973748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009705403,"about_ca_system_score_gemma":0.0001165557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001731828,"about_ca_topic_score_gemma":0.0006345187,"domain_scores_codex":[0.999896,0.000008666587,0.00000784499,0.00002688095,0.00004334942,0.00001708871],"domain_scores_gemma":[0.9998281,0.00002226361,0.00007351031,0.00001263548,0.00003666737,0.00002673715],"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":[0.00002215224,0.00001506476,0.0001183583,0.00002984488,0.000003318932,0.00003789135,0.00001553475,0.00004517695,0.9983119,0.00003340145,0.000006927574,0.001360444],"study_design_scores_gemma":[0.000003321046,0.0001789519,0.001537501,0.00000519005,0.000009906012,0.00006056455,0.00002121181,0.0004098577,0.9970221,0.00001090753,0.0007370381,0.000003461713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922368,0.0006037198,0.00640978,0.00001424692,0.0000172139,0.00003225077,0.00006870545,0.0000418132,0.0005753615],"genre_scores_gemma":[0.9832671,0.0008949661,0.01365173,0.00002648391,0.000009055372,0.00005189014,0.000176594,0.00005074944,0.001871488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005099049,"threshold_uncertainty_score":0.001705825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05054347987829873,"score_gpt":0.3330305164894807,"score_spread":0.282487036611182,"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."}}