{"id":"W3017792595","doi":"10.1116/6.0000024","title":"Epitaxial to axiotaxial texture evolution in endotaxial MnP films grown on GaP (100)","year":2020,"lang":"en","type":"article","venue":"Journal of Vacuum Science & Technology A Vacuum Surfaces and Films","topic":"ZnO doping and properties","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Regroupement Québécois sur les Matériaux de Pointe; TAV College","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Epitaxy; Texture (cosmology); Materials science; Crystallite; Substrate (aquarium); Strain (injury); Crystallography; Optoelectronics; Condensed matter physics; Composite material; Chemistry; Metallurgy; Layer (electronics); Biology; Artificial intelligence; Computer science; Anatomy; Physics","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":[0.00005003262,0.0002355103,0.0001659866,0.00012503,0.0001493658,0.0003032583,0.000204575,0.0001731816,0.001299343],"category_scores_gemma":[0.0002208842,0.0001791311,0.00007093487,0.0002057864,0.0001972157,0.0001580436,0.0001176422,0.0003509411,0.0001170402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002127583,"about_ca_system_score_gemma":0.00009180101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001377667,"about_ca_topic_score_gemma":0.002226126,"domain_scores_codex":[0.9999338,0.000004509782,0.000002739953,0.0000228708,0.00001657733,0.00001946533],"domain_scores_gemma":[0.999855,0.00004329597,0.00004490996,0.00001067147,0.00002325986,0.00002273886],"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":[0.00008963786,0.000006794967,0.0003942287,0.00002513454,0.000003373049,0.0000719261,0.00003245025,0.00003412561,0.9989286,0.00002301827,0.00001830082,0.0003723479],"study_design_scores_gemma":[0.00001334954,0.0001256044,0.02148861,0.000005865437,0.00001021879,0.0001075442,0.00007290003,0.0009442272,0.9767615,0.0000169714,0.0004482156,0.000004960937],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987926,0.0002029812,0.0002119414,0.00001292585,0.000006614953,0.000003402681,0.0001618759,0.00002038192,0.0005871438],"genre_scores_gemma":[0.9987992,0.0001503655,0.0003530381,0.000007302768,0.000002407026,0.000006505997,0.0001238342,0.00001764951,0.0005396695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001377667,"threshold_uncertainty_score":0.004346788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02283273254004053,"score_gpt":0.2566884488486292,"score_spread":0.2338557163085886,"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."}}