{"id":"W1533266777","doi":"10.1002/9780470022184.hmm327","title":"Epitaxial Heusler Alloys on<scp>III</scp>‐<scp>V</scp>Semiconductors","year":2007,"lang":"en","type":"other","venue":"Handbook of Magnetism and Advanced Magnetic Materials","topic":"Heusler alloys: electronic and magnetic properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Condensed matter physics; Curie temperature; Ferromagnetism; Molecular beam epitaxy; Materials science; Fermi level; Spintronics; Epitaxy; Magnetic semiconductor; Semiconductor; Spin polarization; Ternary operation; Alloy; Optoelectronics; Nanotechnology; Electron; Physics; Metallurgy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001004069,0.00156792,0.002316685,0.000830826,0.0002147165,0.0002618969,0.001135223,0.001082106,0.01158537],"category_scores_gemma":[0.0008010938,0.001385006,0.0002338211,0.000260001,0.001259876,0.0002440575,0.0005512452,0.0004650172,0.001020648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007608645,"about_ca_system_score_gemma":0.0003090488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004859667,"about_ca_topic_score_gemma":0.00009025584,"domain_scores_codex":[0.9929489,0.0003547533,0.001693026,0.001817352,0.001102539,0.002083447],"domain_scores_gemma":[0.9959364,0.0008191318,0.001128434,0.001345509,0.0001650961,0.0006054235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006062195,0.0001731268,0.000002246413,0.0007843345,0.00004354152,0.00005776122,0.0004785135,0.000004950927,0.7746247,0.001009259,0.2157302,0.00703073],"study_design_scores_gemma":[0.00224887,0.001787402,0.00003366944,0.001248904,0.0001628003,0.00005312259,0.0002479391,0.00000176281,0.4830166,0.0006522107,0.510211,0.000335766],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3421721,0.1207833,0.0004435452,0.00008606164,0.006338274,0.003918089,0.001527213,0.001039192,0.5236922],"genre_scores_gemma":[0.008753558,0.02481101,0.00665723,0.00067591,0.001298094,0.0003335926,0.0001792525,0.001054366,0.956237],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4325448,"threshold_uncertainty_score":0.9997572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009585304698108385,"score_gpt":0.2230660922736817,"score_spread":0.2134807875755733,"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."}}