{"id":"W4210723066","doi":"10.1016/j.csite.2022.101829","title":"An accurate steady-state approach for characterizing the thermal conductivity of Additively manufactured polymer composites","year":2022,"lang":"en","type":"article","venue":"Case Studies in Thermal Engineering","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal conductivity; Materials science; Composite material; Thermal conductivity measurement; Bar (unit); Fabrication; Thermal; Metre; Heat flux; Anisotropy; Polymer; Thermal insulation; Heat transfer; Mechanics; Optics; Thermodynamics","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":[0.001002025,0.0004643305,0.0004250094,0.0006699852,0.0003799037,0.0009815809,0.0008447884,0.0008812044,0.0008648088],"category_scores_gemma":[0.00300356,0.0004345785,0.0003783945,0.0004315708,0.0006895436,0.001256674,0.000485766,0.0009939295,0.0006026909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006843513,"about_ca_system_score_gemma":0.0006237657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005663511,"about_ca_topic_score_gemma":0.001024492,"domain_scores_codex":[0.998714,0.0001764171,0.00006012659,0.0002928776,0.0007029715,0.00005363081],"domain_scores_gemma":[0.9986567,0.0004776423,0.0001493283,0.0003943726,0.0002974667,0.00002446356],"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":[0.0001707896,0.0001336887,0.003987478,0.000250785,0.00003742462,0.000128894,0.0003751336,0.05112311,0.8650665,0.008415694,0.0006023701,0.06970812],"study_design_scores_gemma":[0.000006739953,0.0001940164,0.002181478,0.00002033138,0.00002147864,0.0001312016,0.0000577103,0.3619266,0.6312504,0.00159891,0.002555155,0.00005596473],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1129025,0.000390353,0.8821933,0.00008216391,0.00009710559,0.00005105246,0.0001573629,0.001548906,0.002577232],"genre_scores_gemma":[0.8469708,0.0003376651,0.1507859,0.0000508216,0.0000238815,0.0001190207,0.0001917987,0.0001215896,0.00139845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001002025,"threshold_uncertainty_score":0.00529927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.035642007993047,"score_gpt":0.263080800805451,"score_spread":0.227438792812404,"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."}}