{"id":"W3152985578","doi":"10.1039/d1nr00461a","title":"Design of 2D materials – MSi<sub>2</sub>C<sub>x</sub>N<sub>4−x</sub> (M = Cr, Mo, and W; <i>x</i> = 1 and 2) – with tunable electronic and magnetic properties","year":2021,"lang":"en","type":"article","venue":"Nanoscale","topic":"MXene and MAX Phase Materials","field":"Materials Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"Fundo para o Desenvolvimento das Ciências e da Tecnologia; Universidade de Macau","keywords":"Materials science; Electronic structure; Crystallography; Physics; Chemistry; Condensed matter 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":[0.00005757566,0.0003144526,0.0001637299,0.0001845787,0.0001656613,0.0002710825,0.0002143994,0.0003037653,0.0008724561],"category_scores_gemma":[0.00008615825,0.0001568253,0.0001161331,0.0001551796,0.0001108604,0.0003472273,0.0001483093,0.0002243424,0.0003538813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002874662,"about_ca_system_score_gemma":0.0001644543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001285453,"about_ca_topic_score_gemma":0.0006038342,"domain_scores_codex":[0.9999735,0.000003370748,0.000002625596,0.00000712108,0.000007829991,0.000005462223],"domain_scores_gemma":[0.9999613,0.000004477687,0.00001514842,0.000005832401,0.000007959921,0.000005324879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002171192,0.00001895972,0.0001845597,0.0001283446,0.00001003009,0.00002714008,0.00001079867,0.0005460571,0.9938684,0.001815924,0.0002419253,0.003126097],"study_design_scores_gemma":[0.00001783445,0.0001551719,0.001051437,0.00001286009,0.00001357104,0.0001360584,0.00003358754,0.009562514,0.9788654,0.0004663278,0.009673974,0.00001131242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726212,0.001683585,0.01674659,0.0002340372,0.00009362029,0.0001350402,0.0005380355,0.0002248957,0.007723163],"genre_scores_gemma":[0.9454926,0.0009503085,0.0496418,0.0001089736,0.00002208922,0.0002217099,0.000606901,0.00005314142,0.00290249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008724561,"threshold_uncertainty_score":0.002918661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128395603421542,"score_gpt":0.1925160077072897,"score_spread":0.1812320516730742,"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."}}