{"id":"W4407727591","doi":"10.1016/j.coco.2025.102321","title":"3D-printing magnetic susceptor filament for induction welding of thermoplastic composite sandwich panels","year":2025,"lang":"en","type":"article","venue":"Composites Communications","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Centre de Recherche sur les Systèmes Polymères et Composites à Haute Performance; ArianeGroup","keywords":"Composite number; Materials science; Composite material; Thermoplastic composites; Thermoplastic; Welding; 3D printing; Protein filament; Susceptor; Filament winding","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":[0.0001343495,0.0002766931,0.0001691514,0.0003158844,0.0001235723,0.0002456359,0.000344238,0.0002935779,0.001459828],"category_scores_gemma":[0.0001623002,0.0001939962,0.0002342984,0.0001757033,0.0001191479,0.000189614,0.0002256512,0.0002926169,0.0007063975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001528026,"about_ca_system_score_gemma":0.0001137232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002022557,"about_ca_topic_score_gemma":0.0005678007,"domain_scores_codex":[0.9998535,0.00001051188,0.000008969873,0.00002265208,0.00008640227,0.00001795756],"domain_scores_gemma":[0.9998444,0.00001910201,0.00004299776,0.00004838427,0.00002974524,0.00001520508],"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":[0.00001308578,0.000007901928,0.00009326854,0.00003816707,0.000002914315,0.0001230754,0.00002039099,0.0006374076,0.9942789,0.000166903,0.00007951537,0.004538403],"study_design_scores_gemma":[0.000003622423,0.0001055031,0.001578248,0.000004718001,0.00000531554,0.000328501,0.00001008401,0.004102198,0.991235,0.0000302896,0.002588663,0.000007721603],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9194221,0.001014493,0.06534154,0.00006789473,0.0001311998,0.00006264551,0.0002776957,0.001450361,0.01223195],"genre_scores_gemma":[0.9468031,0.0003053177,0.04824832,0.00002205454,0.00001154833,0.00003488532,0.0001722173,0.00009378924,0.004308873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001459828,"threshold_uncertainty_score":0.004883647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02359317460883598,"score_gpt":0.2594515344152521,"score_spread":0.2358583598064162,"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."}}