{"id":"W4389985847","doi":"10.1615/ihtc17.90-170","title":"ADDITIVE MANUFACTURING OF ELECTRONIC COOLING DEVICES USING THERMAL SPRAY","year":2023,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Thermal; Materials science; Thermal spraying; Electronics; Environmental science; Process engineering; Metallurgy; Engineering physics; Electrical engineering; Engineering; Composite material; Thermodynamics; Physics","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":[0.0003089089,0.0003294453,0.0004135313,0.0006455671,0.0003776531,0.0006310178,0.0004457117,0.0002897675,0.002497709],"category_scores_gemma":[0.000358469,0.0003502477,0.0005911613,0.0004078018,0.000281331,0.0005142049,0.0005337903,0.0006289968,0.000674799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002867149,"about_ca_system_score_gemma":0.0003790147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003515033,"about_ca_topic_score_gemma":0.00107042,"domain_scores_codex":[0.9995754,0.00002625767,0.00001958209,0.00005186737,0.0002809204,0.00004595238],"domain_scores_gemma":[0.9998716,0.00002436614,0.0000190293,0.00002960997,0.00004716171,0.000008078058],"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":[0.00004304783,0.00002950255,0.0001678865,0.0002828793,0.00001745281,0.0001107905,0.000093066,0.001681834,0.9649292,0.00370184,0.0007628548,0.02817969],"study_design_scores_gemma":[0.00001185584,0.0001466288,0.0006036987,0.00002009326,0.00001577219,0.0001889097,0.0000170995,0.003089331,0.9845079,0.0002258746,0.0111639,0.000008956417],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6306361,0.01139863,0.2932741,0.0003249793,0.001282485,0.0004219564,0.0003803802,0.001397793,0.06088365],"genre_scores_gemma":[0.8675585,0.002969353,0.1111756,0.0001130025,0.00007729215,0.0001142546,0.0001850959,0.0001668306,0.0176401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002497709,"threshold_uncertainty_score":0.008355677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167721884084276,"score_gpt":0.2342312317744147,"score_spread":0.2174590433659871,"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."}}