{"id":"W2167589021","doi":"10.1007/s11661-014-2349-3","title":"Analysis of Fluxless, Reactive Brazing of Al Alloys Using Differential Scanning Calorimetry","year":2014,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Intermetallics and Advanced Alloy Properties","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; Dalhousie University","funders":"","keywords":"Brazing; Differential scanning calorimetry; Exothermic reaction; Materials science; Metallurgy; Plating (geology); Aluminium; Oxide; Chemical engineering; Chemistry; Thermodynamics; Alloy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001295738,0.0001351191,0.0005514562,0.0001777787,0.00005837794,0.00003055903,0.0000645972,0.00005924795,0.0003340518],"category_scores_gemma":[0.000006310426,0.0001178291,0.0001512188,0.0002270372,0.00009715965,0.0001263572,0.000008924499,0.00005968853,4.496108e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001147094,"about_ca_system_score_gemma":0.000004198568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001861378,"about_ca_topic_score_gemma":0.00002325028,"domain_scores_codex":[0.9991645,0.00004262204,0.00037458,0.0001499938,0.0001164943,0.0001518747],"domain_scores_gemma":[0.9996989,0.00003648142,0.0000657899,0.0001061687,0.00004330206,0.00004929869],"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":[0.000031241,0.00003696536,0.000004173431,0.00009021736,0.001006705,8.329765e-7,0.00006882745,0.04412558,0.9530137,0.0002773148,2.640377e-7,0.001344208],"study_design_scores_gemma":[0.0003842587,0.0000599196,0.001175044,0.00008911351,0.001992516,0.000008397386,0.00008126398,0.2690955,0.7258461,0.00009338134,0.0008945081,0.000280038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6628794,0.00004010024,0.3367503,0.00000332924,0.0001432553,0.00003964691,0.00003019143,0.00002597256,0.00008782402],"genre_scores_gemma":[0.9977318,0.00006378679,0.002111586,0.000005722507,0.00002189414,0.000005027732,0.00001082471,0.0000175495,0.00003180874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3348524,"threshold_uncertainty_score":0.480493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161649584395828,"score_gpt":0.2236003407988139,"score_spread":0.2119838449548556,"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."}}