{"id":"W4366481753","doi":"10.1016/j.physb.2023.414905","title":"Exploring the candidacy of Mo<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si8.svg\" display=\"inline\" id=\"d1e508\"><mml:msub><mml:mrow/><mml:mrow><mml:mrow><mml:mo>(</mml:mo><mml:mn>1</mml:mn><mml:mo>−</mml:mo><mml:mi>x</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:mrow></mml:msub></mml:math> A<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si9.svg\" display=\"inline\" id=\"d1e525\"><mml:msub><mml:mrow/><mml:mrow><mml:mi>x</mml:mi></mml:mrow></mml:msub></mml:math> X2 (A = [Cr, Ta], X = S) for photodetection solicitations: Showcasing the DFT predictions of the structural, elastic, and optoelectronic properties","year":2023,"lang":"lv","type":"article","venue":"Physica B Condensed Matter","topic":"2D Materials and Applications","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Princess Nourah Bint Abdulrahman University","keywords":"Doping; Chalcogen; Materials science; Stability (learning theory); Impurity; Density functional theory; Molybdenum; Monolayer; Computer science; Computational chemistry; Nanotechnology; Crystallography; Physics; Chemistry; Optoelectronics; Machine learning; Quantum mechanics","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":[0.006875464,0.001167105,0.0009134331,0.003059073,0.005874827,0.02203574,0.003600256,0.0031308,0.1477178],"category_scores_gemma":[0.0330308,0.0008392404,0.001504309,0.004509581,0.003125998,0.02384225,0.00707865,0.004325507,0.04649313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005312263,"about_ca_system_score_gemma":0.006659301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06007346,"about_ca_topic_score_gemma":0.07877923,"domain_scores_codex":[0.9941027,0.002238795,0.0002596158,0.001019052,0.001560565,0.0008192529],"domain_scores_gemma":[0.9899475,0.005008226,0.000394454,0.0009209411,0.002899981,0.0008288237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005287285,0.0002692207,0.005406507,0.0006463997,0.00005886718,0.001040371,0.01117167,0.002308255,0.002341452,0.3293257,0.4907892,0.1561136],"study_design_scores_gemma":[0.00006488294,0.00005613908,0.0021373,0.0004509777,0.00004329132,0.0002396557,0.01305733,0.006690084,0.002048576,0.05330501,0.9218104,0.00009620037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03940812,0.003046497,0.06666147,0.0334588,0.001565277,0.0004636335,0.008411068,0.007183762,0.8398014],"genre_scores_gemma":[0.4266279,0.004960621,0.07403211,0.009057345,0.000601431,0.0008152986,0.02283286,0.01590453,0.4451679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1477178,"threshold_uncertainty_score":0.4941652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02608717386298896,"score_gpt":0.2472060827466118,"score_spread":0.2211189088836229,"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."}}