{"id":"W2026044506","doi":"10.1361/105994900770345773","title":"A Study of Thermal Parameters and Interdendritic Feeding in Lost Foam Casting","year":2000,"lang":"en","type":"article","venue":"Journal of Materials Engineering and Performance","topic":"Materials Engineering and Processing","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Casting; Thermal; Alloy; Composite material; Hydrogen; Consistency (knowledge bases); Metallurgy; Thermodynamics; Mathematics","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":[0.0004046784,0.0001569007,0.0003683636,0.0001865131,0.00001964745,0.00005882506,0.00007725552,0.00005011958,0.0000305184],"category_scores_gemma":[0.00001911928,0.0001445311,0.0000149021,0.00009049055,0.00001317449,0.0002335124,0.00001501245,0.0001318876,7.894041e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001745709,"about_ca_system_score_gemma":0.000005155297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009295141,"about_ca_topic_score_gemma":7.74054e-7,"domain_scores_codex":[0.9990821,0.00001481764,0.0005324115,0.00007842083,0.0001043382,0.0001878389],"domain_scores_gemma":[0.9997508,0.00004589055,0.00006540205,0.00006285419,0.00002087936,0.00005417787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001177348,0.00004563027,0.002693234,0.001946241,0.00006555932,0.0000450692,0.004619287,0.6357351,0.3422921,0.000002205371,0.00000454708,0.01243332],"study_design_scores_gemma":[0.006530712,0.002941112,0.1637451,0.008468116,0.0002022463,0.002454835,0.001801086,0.2768621,0.5351731,0.00001210074,0.0002260469,0.001583436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989718,0.0004644658,0.00003653687,0.000003376033,0.0003744877,0.00006401147,0.000002415051,0.00002632739,0.00005661279],"genre_scores_gemma":[0.9988741,0.0003141593,0.0006790393,0.000001954093,0.0000952405,0.000002304858,2.769847e-7,0.00002659738,0.000006346826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.358873,"threshold_uncertainty_score":0.5893806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025443175201892,"score_gpt":0.2004063490437321,"score_spread":0.1901519172917132,"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."}}