{"id":"W4298429023","doi":"","title":"Dynamics of dendrite growth in a binary alloy with magnetic field effect","year":2011,"lang":"en","type":"book-chapter","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Solidification and crystal growth phenomena","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Isothermal process; Magnetic field; Binary number; Alloy; Materials science; Copper; Phase (matter); Binary alloy; Field (mathematics); Nonlinear system; Condensed matter physics; Dendrite (mathematics); Statistical physics; Thermodynamics; Metallurgy; Physics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008042613,0.0001270433,0.0002845415,0.0002851327,0.0005878387,0.0006819389,0.0002988412,0.000267729,0.002735961],"category_scores_gemma":[0.0004150886,0.0001636219,0.0001328276,0.0002219945,0.0003190679,0.0003680559,0.0002060832,0.0002365913,0.000272382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001163868,"about_ca_system_score_gemma":0.0003392491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004202461,"about_ca_topic_score_gemma":0.005400662,"domain_scores_codex":[0.9999702,0.000002526198,9.739676e-7,0.000006585027,0.00001122115,0.000008494988],"domain_scores_gemma":[0.9998394,0.00006830638,0.00001966698,0.000008077336,0.00002923979,0.00003535435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001181397,0.0002362416,0.006760229,0.0003270757,0.00005148368,0.001039144,0.000920589,0.06687311,0.8530065,0.04387491,0.003944474,0.02178483],"study_design_scores_gemma":[0.0001099829,0.0002355608,0.02108936,0.00002912613,0.00004050775,0.0004285657,0.0003939669,0.6634842,0.2930641,0.01132346,0.009723633,0.0000775687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848511,0.0004890357,0.002461275,0.0003074343,0.00004395881,0.00001069685,0.0001438668,0.0001061859,0.01158646],"genre_scores_gemma":[0.9937136,0.0001737711,0.000747047,0.00001149647,0.000009310085,0.000004783786,0.0001101702,0.00002867243,0.005201254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004202461,"threshold_uncertainty_score":0.00915271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00889292500731716,"score_gpt":0.1943876843583569,"score_spread":0.1854947593510397,"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."}}