{"id":"W2802555786","doi":"10.1016/j.matchar.2018.05.012","title":"In-situ investigation of incipient melting in a 319 type Al alloy using laser scanning confocal microscopy","year":2018,"lang":"en","type":"article","venue":"Materials Characterization","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; McMaster University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Division of Materials Research; University of Toronto; McMaster University","keywords":"Eutectic system; Materials science; Microstructure; Alloy; Optical microscope; Casting; Ternary operation; Confocal laser scanning microscopy; Metallurgy; Lamellar structure; Scanning electron microscope; Composite material","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":[0.0002412469,0.0001607596,0.0002519926,0.0001379214,0.00004266299,0.00008976061,0.0000910837,0.0001082037,0.00007788687],"category_scores_gemma":[0.00003611358,0.0001708045,0.00001196749,0.0002552028,0.0001044108,0.0004139607,0.00005070782,0.00006397654,0.00001115526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001347045,"about_ca_system_score_gemma":0.00004030394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001230791,"about_ca_topic_score_gemma":0.00004934167,"domain_scores_codex":[0.9989159,0.00006222932,0.0005205233,0.0001737939,0.0001068613,0.0002206542],"domain_scores_gemma":[0.9996245,0.00000889246,0.0001262908,0.0001248042,0.00008640667,0.00002909768],"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":[0.00005607821,0.000004733668,0.004662561,0.00008967718,0.000006447781,0.000001870129,0.002632268,0.0003935825,0.9920948,0.000005263415,0.000008412264,0.00004428422],"study_design_scores_gemma":[0.0002821622,0.00002936134,0.04276167,0.0002213204,0.000005379354,0.000005192164,0.00003541595,0.004690473,0.9516926,0.00001130051,0.0001073982,0.0001577012],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983014,0.00001031398,0.0002391956,0.00002154292,0.001114125,0.0002194869,0.00001646013,0.00005532552,0.00002213348],"genre_scores_gemma":[0.9980304,0.000005938064,0.001519147,0.000122689,0.00013084,0.00000672332,0.0001319044,0.0000433585,0.000009039372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04040219,"threshold_uncertainty_score":0.6965206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529247182958629,"score_gpt":0.2402256184759352,"score_spread":0.2249331466463489,"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."}}