{"id":"W2945956396","doi":"10.1039/c9na00111e","title":"Epitaxial patterned Bi<sub>2</sub>FeCrO<sub>6</sub>nanoisland arrays with room temperature multiferroic properties","year":2019,"lang":"en","type":"article","venue":"Nanoscale Advances","topic":"Multiferroics and related materials","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Shenzhen Municipal Science and Technology Innovation Council; Science, Technology and Innovation Commission of Shenzhen Municipality; Natural Science Foundation of Guangdong Province; Government of Jiangxi Province; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Multiferroics; Materials science; Epitaxy; Optoelectronics; Ferroelectricity; Condensed matter physics; Nanotechnology; Physics; Dielectric; Layer (electronics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004314496,0.0007205023,0.0009052713,0.0001745437,0.0003938956,0.0004039199,0.0006147966,0.0004734153,0.000146287],"category_scores_gemma":[0.00006995152,0.0004731796,0.0001597125,0.0003244164,0.0002826918,0.001026652,0.0001772624,0.0003909638,0.00112857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009199129,"about_ca_system_score_gemma":0.0001554085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004432398,"about_ca_topic_score_gemma":0.0002290706,"domain_scores_codex":[0.9959679,0.0002270002,0.0007547829,0.001224256,0.0008013598,0.001024766],"domain_scores_gemma":[0.9981349,0.0001001145,0.0004411427,0.0008001573,0.0002583442,0.0002654155],"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":[0.0005917029,0.000186621,0.001901754,0.0003243013,0.00003823243,0.00004389231,0.00048675,0.000989093,0.9936669,0.00002432167,0.0002262038,0.001520205],"study_design_scores_gemma":[0.002042138,0.000457049,0.001472309,0.0005837095,0.00005903808,0.00004941531,0.0001801709,0.0001553992,0.9914193,0.0001074558,0.002610343,0.0008637077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99223,0.002259674,0.00009785925,0.0002358092,0.003212499,0.00126281,0.0001680567,0.0003168455,0.0002164465],"genre_scores_gemma":[0.9972327,0.000999182,0.0004081009,0.0002455062,0.0004582831,0.0001613601,0.0000603646,0.0001203076,0.000314216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005002681,"threshold_uncertainty_score":0.999772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006841031065815739,"score_gpt":0.2041280846863014,"score_spread":0.1972870536204857,"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."}}