{"id":"W4283747891","doi":"10.3389/fmech.2022.830104","title":"Thermal Conductivity of Ti-6Al-4V in Laser Powder Bed Fusion","year":2022,"lang":"en","type":"article","venue":"Frontiers in Mechanical Engineering","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"C-Therm Technologies (Canada)","funders":"Bundesministerium für Wirtschaft und Energie","keywords":"Thermal conductivity; Materials science; Thermal; Fusion; Realization (probability); Particle (ecology); Composite material; Thermodynamics; Physics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003321945,0.0002057607,0.0004252852,0.000368858,0.0002904772,0.0006940108,0.0004893025,0.0005131683,0.00075599],"category_scores_gemma":[0.0006426236,0.0002652065,0.0004013593,0.000663513,0.0004573892,0.0004725602,0.0002000711,0.0002687489,0.0001956779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001007492,"about_ca_system_score_gemma":0.0002996249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002723458,"about_ca_topic_score_gemma":0.002182369,"domain_scores_codex":[0.9996412,0.00003195517,0.00001147268,0.00006964763,0.0002017067,0.00004405005],"domain_scores_gemma":[0.9997684,0.0001158935,0.00002878012,0.00001939067,0.00005809654,0.000009527194],"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":[0.0008016905,0.00010093,0.004182271,0.0004096447,0.00005484462,0.0004221829,0.0003328607,0.254126,0.7195851,0.002300088,0.0007799517,0.01690445],"study_design_scores_gemma":[0.00003226992,0.0004832914,0.00744437,0.00002210992,0.00003335027,0.0001525208,0.0001542424,0.3376063,0.6518791,0.0006267502,0.001515948,0.00004977518],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927677,0.0002547661,0.004191187,0.00005525019,0.00001294174,0.00000801091,0.0002766243,0.0001103335,0.002323127],"genre_scores_gemma":[0.9984995,0.00006454111,0.0009366209,0.000004008207,0.000001119567,0.000005015694,0.00009661871,0.000008356992,0.0003844048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002723458,"threshold_uncertainty_score":0.007309914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006702056702830852,"score_gpt":0.1825314225587607,"score_spread":0.1758293658559299,"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."}}