{"id":"W1984504881","doi":"10.1155/2014/657647","title":"Influence of Cooling Rate on Microsegregation Behavior of Magnesium Alloys","year":2014,"lang":"en","type":"article","venue":"Journal of Materials","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Microstructure; Magnesium alloy; Metallurgy; Alloy; Optical microscope; Dendrite (mathematics); Thermocouple; Magnesium; Phase (matter); Scanning electron microscope; Composite material; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002556686,0.0003207129,0.0003338614,0.0002748925,0.0001520815,0.0002395651,0.0002418532,0.0001592107,0.0009093028],"category_scores_gemma":[0.000691529,0.0002160685,0.0001881263,0.0002204688,0.0001452623,0.0002059996,0.0001290494,0.0002128701,0.0001919659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002223074,"about_ca_system_score_gemma":0.0001797347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001517165,"about_ca_topic_score_gemma":0.002553769,"domain_scores_codex":[0.9998466,0.00002011386,0.00001680097,0.00003480505,0.00005007809,0.00003157105],"domain_scores_gemma":[0.9996178,0.0001134325,0.0001051961,0.0000381014,0.0001000694,0.00002532631],"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":[0.0003079178,0.00001527303,0.00150903,0.00005553168,0.000006585654,0.00005678399,0.00005437301,0.0005755711,0.994512,0.00002440568,0.00001830844,0.00286418],"study_design_scores_gemma":[0.000006923543,0.0003727801,0.01338186,0.000005061644,0.00001853837,0.00005514676,0.00002752138,0.001296057,0.9843067,0.000009672084,0.0005129835,0.000006845929],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984844,0.000459748,0.0005454839,0.00001208967,0.000006010952,0.000009755213,0.00007361679,0.00002340558,0.0003854465],"genre_scores_gemma":[0.9981536,0.0002522347,0.001015236,0.000005396702,0.000003392642,0.000008476992,0.00006533838,0.00002268691,0.000473598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001517165,"threshold_uncertainty_score":0.003041923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006732572209021619,"score_gpt":0.204585494487843,"score_spread":0.1978529222788214,"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."}}