{"id":"W1973282098","doi":"10.1016/s0921-5093(02)00530-0","title":"Differential scanning calorimetry of the stages of transient liquid phase sintering","year":2003,"lang":"en","type":"article","venue":"Materials Science and Engineering A","topic":"Intermetallics and Advanced Alloy Properties","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Differential scanning calorimetry; Isothermal process; Sintering; Materials science; Transient (computer programming); Kinetics; Diffusion; Phase (matter); Liquid phase; Thermal analysis; Thermodynamics; Thermal; Calorimetry; Composite material; Chemistry; Organic chemistry","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":[0.0001843877,0.0001005157,0.0001650645,0.00007850576,0.00004719365,0.0000315811,0.0001493092,0.00002013305,0.00002275103],"category_scores_gemma":[0.00005619023,0.00007071009,0.00002572139,0.0001707264,0.0001450696,0.0001192495,0.00003160146,0.00004202907,2.453085e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001869377,"about_ca_system_score_gemma":0.00001470119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005675435,"about_ca_topic_score_gemma":2.167441e-7,"domain_scores_codex":[0.9993322,0.000006268355,0.0002059363,0.0001014144,0.0001654521,0.0001887082],"domain_scores_gemma":[0.99976,0.000008920819,0.00002610038,0.0001266126,0.00004348202,0.00003487522],"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":[0.000006027438,0.000009074357,0.000003942586,0.0001434787,0.00000693219,3.038396e-7,0.0001804262,0.01051715,0.9884939,0.0005101595,0.000001214412,0.0001274491],"study_design_scores_gemma":[0.0001632108,0.00005933592,0.0001384905,0.0001280896,0.000006753544,0.000003519777,0.00004292076,0.002506518,0.9966422,0.000005278626,0.0002198919,0.00008379741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973356,0.00007969052,0.001632403,0.000003591493,0.0007415384,0.00005993005,0.00001031876,0.00003190165,0.000105068],"genre_scores_gemma":[0.9995506,0.0000236661,0.0003822791,0.000002616485,0.00001559271,0.000003902731,2.017998e-7,0.00001207029,0.000009006251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008148349,"threshold_uncertainty_score":0.2883474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009155859007720405,"score_gpt":0.2115492820964393,"score_spread":0.2023934230887189,"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."}}