{"id":"W1611016675","doi":"10.1116/1.1651546","title":"Single crystal growth of Ge1−xSix alloys using the traveling solvent method","year":2004,"lang":"en","type":"article","venue":"Journal of Vacuum Science & Technology A Vacuum Surfaces and Films","topic":"Semiconductor materials and interfaces","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Electron microprobe; Microprobe; Composition (language); Materials science; Solvent; Analytical Chemistry (journal); Crystal (programming language); Conductivity; Seeding; Crystal growth; Single crystal; Hall effect; Transverse plane; Electrical resistivity and conductivity; Crystallography; Condensed matter physics; Chemistry; Mineralogy; Thermodynamics; Metallurgy; Physics; Chromatography; Physical 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":[0.0001345199,0.0002874487,0.000403031,0.0002733912,0.0002635839,0.0004053496,0.0005196403,0.0003036405,0.0008360242],"category_scores_gemma":[0.0001905655,0.0002577787,0.0002711042,0.0003310021,0.000142407,0.0002104787,0.0001904776,0.000283697,0.0003142719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004515813,"about_ca_system_score_gemma":0.0004257786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00268589,"about_ca_topic_score_gemma":0.006388729,"domain_scores_codex":[0.9999061,0.000006360393,0.000008034542,0.00001967933,0.00004557903,0.00001432985],"domain_scores_gemma":[0.9998844,0.00001825015,0.00002402465,0.00001951961,0.00003908976,0.00001469659],"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":[0.00003542453,0.000005885755,0.0001070627,0.00005471854,0.00000684514,0.00006262471,0.00001726444,0.0002334356,0.9974312,0.0002371198,0.0001050721,0.001703339],"study_design_scores_gemma":[0.00001075221,0.00006503336,0.0004108916,0.000003090266,0.000005010781,0.0001160549,0.00001032546,0.002555832,0.9957268,0.00002315669,0.001069015,0.000003982838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908559,0.0006679553,0.005303629,0.00006138215,0.000031542,0.00003182093,0.0004223998,0.00008562442,0.002539732],"genre_scores_gemma":[0.9476415,0.001636551,0.04183882,0.00002383614,0.00001950584,0.00006643554,0.001085319,0.0001047879,0.007583191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00268589,"threshold_uncertainty_score":0.005340517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02263361716994914,"score_gpt":0.283896338071522,"score_spread":0.2612627209015728,"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."}}