{"id":"W2079900797","doi":"10.1016/j.jmatprotec.2014.09.001","title":"Investigation of melting in the Al–Si coating of a boron steel sheet by differential scanning calorimetry","year":2014,"lang":"en","type":"article","venue":"Journal of Materials Processing Technology","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; ArcelorMittal","keywords":"Materials science; Eutectic system; Differential scanning calorimetry; Intermetallic; Coating; Metallurgy; Isothermal process; Boron; Diffusion; Melting point; Layer (electronics); Composite material; Alloy; Thermodynamics; Chemistry","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":[0.0007904904,0.000123918,0.0004286557,0.0002164661,0.0000397164,0.00002718023,0.0003476582,0.0001754527,0.000008599384],"category_scores_gemma":[0.000268063,0.00008536162,0.00003231942,0.0002098799,0.0001058204,0.0001465276,0.00004806504,0.000243981,2.200538e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002685613,"about_ca_system_score_gemma":0.00002490783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001128682,"about_ca_topic_score_gemma":0.000001621413,"domain_scores_codex":[0.9986518,0.00006737728,0.0008391729,0.0000851297,0.0001793733,0.0001771718],"domain_scores_gemma":[0.9991294,0.00005006909,0.0005727654,0.0001192695,0.0001078808,0.00002062974],"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":[0.00002381512,0.000007005147,0.0001477796,0.0003399489,0.00001192721,8.224087e-7,0.0003905289,0.0000884291,0.9914714,0.00009136052,0.0001357226,0.007291244],"study_design_scores_gemma":[0.0003798674,0.0001411103,0.0001771215,0.0005924436,0.00002395274,0.00003277193,0.0003676381,0.0006375277,0.9961315,0.001345139,0.00008945195,0.00008148477],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953871,0.0005999277,0.003432665,0.0002174676,0.0002265485,0.00007029511,0.000003695163,0.00003047514,0.00003187113],"genre_scores_gemma":[0.9967957,0.00002069358,0.003050559,0.00004484108,0.00006459749,0.000002045009,0.000001709567,0.00001869859,0.000001191187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007209759,"threshold_uncertainty_score":0.3480946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009353840482364605,"score_gpt":0.213377396413362,"score_spread":0.2040235559309974,"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."}}