{"id":"W3171563577","doi":"10.1177/00219983211020500","title":"Digital volume correlation analysis of polylactic acid based fused filament fabrication printed composites","year":2021,"lang":"en","type":"article","venue":"Journal of Composite Materials","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Polylactic acid; Composite material; Fabrication; Fused filament fabrication; Volume (thermodynamics); Protein filament; 3D printing; Polymer","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001619802,0.0001300732,0.0004624395,0.0003968092,0.00003267406,0.0001206753,0.0001555555,0.00007066733,0.0001813549],"category_scores_gemma":[0.0001128944,0.0001218347,0.0001545126,0.0003556511,0.00003409599,0.0001720419,0.00004404016,0.0001051454,0.000007084603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007616333,"about_ca_system_score_gemma":0.00001981372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001605816,"about_ca_topic_score_gemma":3.26154e-7,"domain_scores_codex":[0.998897,0.00005162582,0.0006276291,0.00009261312,0.0002115523,0.0001195686],"domain_scores_gemma":[0.9989415,0.0001084897,0.0004315699,0.0001997538,0.0002835243,0.00003518048],"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":[0.00004841332,0.00006531653,0.004219274,0.00005522152,0.0007548984,0.00001201439,0.0000538291,0.05833889,0.9337575,0.0000199177,0.0001100454,0.002564674],"study_design_scores_gemma":[0.0002375545,0.00004890454,0.09398989,0.00008456758,0.0003912695,0.000007152563,0.0000293528,0.01319512,0.8915884,0.00003671164,0.0002869722,0.0001041384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9114886,0.0001247292,0.08760242,0.00009504482,0.0003025831,0.00004834132,0.00006186568,0.00009635882,0.0001800359],"genre_scores_gemma":[0.9957473,0.00001798156,0.004042248,0.00001019076,0.00004026455,0.000001412607,0.00009537132,0.00001437795,0.00003087944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08977062,"threshold_uncertainty_score":0.4968275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008730865951546605,"score_gpt":0.2132270862619631,"score_spread":0.2044962203104165,"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."}}