{"id":"W4391933741","doi":"10.1016/j.compositesb.2024.111321","title":"Fiber dispersion as a quality assessment metric for pultruded thermoplastic composites","year":2024,"lang":"en","type":"article","venue":"Composites Part B Engineering","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Economic Development and Trade, Government of Alberta; Alberta Innovates; Canada Foundation for Innovation","keywords":"Pultrusion; Composite material; Materials science; Thermoplastic composites; Dispersion (optics); Metric (unit); Fiber; Thermoplastic; Fibre-reinforced plastic; Engineering; Physics","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":[0.0007976362,0.0003672671,0.0002713669,0.001710521,0.0003696455,0.0006309297,0.0003728239,0.000538427,0.001024995],"category_scores_gemma":[0.001408736,0.0002233644,0.0003408286,0.0007904849,0.0002851137,0.0005233188,0.0003857779,0.0003447986,0.0002336889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006344836,"about_ca_system_score_gemma":0.0002079521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00344764,"about_ca_topic_score_gemma":0.008618151,"domain_scores_codex":[0.9989059,0.00008333682,0.00005225695,0.0001549919,0.0007486722,0.00005483008],"domain_scores_gemma":[0.9980115,0.0004870744,0.0003122915,0.0001719807,0.0009596106,0.00005753824],"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":[0.0006819079,0.0001479127,0.03274045,0.0001164851,0.0000582681,0.0001596098,0.0002569412,0.01345802,0.8824222,0.0002829754,0.0002803634,0.06939494],"study_design_scores_gemma":[0.00001170614,0.0009548265,0.0771682,0.00002994284,0.00008528157,0.000307548,0.0002730054,0.06668461,0.8525191,0.0002113408,0.001691708,0.00006280879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969574,0.0006911891,0.02723696,0.00002728655,0.00002705567,0.00002895307,0.0003604165,0.0002133202,0.001840859],"genre_scores_gemma":[0.9849409,0.0001909072,0.0128065,0.00001132896,0.000006370743,0.00001283829,0.0003654051,0.00004789783,0.001617826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00344764,"threshold_uncertainty_score":0.00685519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048557904826231,"score_gpt":0.2731348994808888,"score_spread":0.2526493204326264,"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."}}