{"id":"W2810761854","doi":"10.1007/978-3-319-77504-3_4","title":"Modeling Semiconductor Crystal Growth Under Electromagnetic Fields","year":2018,"lang":"en","type":"book-chapter","venue":"Advanced structured materials","topic":"Solidification and crystal growth phenomena","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetic field; Crystal growth; Growth rate; Condensed matter physics; Semiconductor; Materials science; Electric field; Convection; Crystal (programming language); Electromagnetic field; Mechanics; Thermodynamics; Physics; Optoelectronics; Computer science; Mathematics; Geometry","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":[0.0001282539,0.0006393358,0.0006486183,0.0002148828,0.0003266845,0.0007937446,0.001219187,0.001052926,0.003550229],"category_scores_gemma":[0.0003022135,0.000339865,0.0006559848,0.0003257298,0.0004401506,0.0009571713,0.0004729034,0.0007702638,0.0009161208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006161345,"about_ca_system_score_gemma":0.0006213411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003722238,"about_ca_topic_score_gemma":0.004047747,"domain_scores_codex":[0.999934,0.00001297502,0.000001560251,0.000009578865,0.00003308838,0.000008749866],"domain_scores_gemma":[0.9999369,0.00003468956,0.000004878317,0.000006376223,0.00001242304,0.00000472095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002069584,0.00004253986,0.0001445953,0.0001704451,0.00002580709,0.00008807077,0.00005527119,0.7600624,0.006741702,0.2089955,0.00497283,0.01868013],"study_design_scores_gemma":[0.00000517872,0.000006594463,0.00005755137,0.0000138645,0.000005267753,0.00002570631,0.0000105478,0.9477957,0.0009036936,0.04208099,0.009089227,0.000005702788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06408661,0.005470789,0.6321401,0.001396479,0.0007063739,0.00008805931,0.0006950673,0.0007419667,0.2946746],"genre_scores_gemma":[0.5800959,0.01179,0.1904153,0.0006232057,0.0007109003,0.000411165,0.001533683,0.001283759,0.2131361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003722238,"threshold_uncertainty_score":0.0118767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01778818814256439,"score_gpt":0.2419024748714361,"score_spread":0.2241142867288717,"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."}}