{"id":"W2272192327","doi":"","title":"Design of a Zone Refiner for Optimization Studies","year":2007,"lang":"en","type":"article","venue":"Scientia Iranica","topic":"Solidification and crystal growth phenomena","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Zone melting; Refining (metallurgy); Materials science; Impurity; Dead zone; Semiconductor; Thermal; Mixing (physics); Mechanical engineering; Composite material; Process engineering; Metallurgy; Chemistry; Geology; Optoelectronics; Engineering; Thermodynamics; Physics","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":[0.0006869412,0.0008116103,0.000918253,0.0006926875,0.0005326013,0.0007925304,0.001578655,0.0005952924,0.004850212],"category_scores_gemma":[0.001009653,0.000575966,0.0004479066,0.0004184601,0.0003078094,0.0005427313,0.0005485339,0.0005957306,0.001532655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008217976,"about_ca_system_score_gemma":0.001033946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002139657,"about_ca_topic_score_gemma":0.002087788,"domain_scores_codex":[0.9995635,0.00004482529,0.00002288869,0.0000991499,0.0002097235,0.00005984944],"domain_scores_gemma":[0.9995498,0.0001159696,0.00008590973,0.00007031771,0.0001446903,0.00003334084],"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":[0.0007173957,0.0002888185,0.002653044,0.0004470287,0.00004905697,0.0002062838,0.0002298461,0.09252876,0.8171427,0.004825732,0.002364909,0.0785463],"study_design_scores_gemma":[0.0002612493,0.001244245,0.004300112,0.00003464433,0.00007941435,0.0001763537,0.0000749198,0.4844617,0.4859649,0.0007654733,0.02254418,0.00009265047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1929028,0.000444366,0.7913142,0.0001786507,0.00006925343,0.001276815,0.000550724,0.005275289,0.007987973],"genre_scores_gemma":[0.5682823,0.0002223275,0.4255106,0.00007193151,0.00002398571,0.001068298,0.0003776829,0.0003704383,0.004072391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004850212,"threshold_uncertainty_score":0.01622558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08069035378418354,"score_gpt":0.3289385146424614,"score_spread":0.2482481608582778,"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."}}