{"id":"W4416769254","doi":"10.3390/pr13123815","title":"Experimental and Numerical Replication of Thermal Conditions in High-Pressure Die-Casting Process","year":2025,"lang":"en","type":"article","venue":"Processes","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Thermal conduction; Thermal; Process (computing); Transient (computer programming); Heat transfer coefficient; Heat transfer; Casting; Temperature measurement; Thermal conductivity","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003717223,0.00009369746,0.000131338,0.00006550045,0.00003521427,0.00001666242,0.00009121605,0.00004464823,0.00001590497],"category_scores_gemma":[0.0001035162,0.00008638319,0.000007887794,0.0001933541,0.00006089219,0.0001543187,0.00003053937,0.00007828847,7.458191e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001361173,"about_ca_system_score_gemma":0.00003133411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001999451,"about_ca_topic_score_gemma":0.000003151561,"domain_scores_codex":[0.9994859,0.000007334128,0.0001715884,0.000166697,0.0000592612,0.0001091945],"domain_scores_gemma":[0.9997415,0.00003516565,0.00002860682,0.0001206719,0.00005847863,0.0000155713],"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":[0.00004175878,0.0000751944,0.03116667,0.005496679,0.00007125331,0.000002051886,0.004629384,0.01006271,0.9457159,0.0002127257,0.00006607798,0.002459566],"study_design_scores_gemma":[0.0002482111,0.00001697614,0.01130486,0.0001671605,0.00001706773,0.000003340168,0.0005812192,0.003419639,0.9836131,0.0003140156,0.0001970476,0.0001173404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869172,0.01141513,0.0006226542,0.00004365917,0.00004316151,0.0001426757,0.000009761479,0.000098104,0.0007076727],"genre_scores_gemma":[0.9995435,0.0000241883,0.0002677259,0.00001590849,0.00001501138,0.00007718774,0.000007545053,0.00001284394,0.00003607375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03789719,"threshold_uncertainty_score":0.3522604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00838285418530258,"score_gpt":0.2506768625385712,"score_spread":0.2422940083532687,"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."}}