{"id":"W4295694233","doi":"10.1103/physrevb.106.l121106","title":"Unveiling the underlying interactions in <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:msub><mml:mi>Ta</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mi>NiSe</mml:mi><mml:mn>5</mml:mn></mml:msub></mml:math> from photoinduced lifetime change","year":2022,"lang":"lv","type":"article","venue":"Physical review. B./Physical review. B","topic":"2D Materials and Applications","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; University of British Columbia","funders":"Gordon and Betty Moore Foundation; Javna Agencija za Raziskovalno Dejavnost RS; European Research Council; British Columbia Knowledge Development Fund; Basic Energy Sciences; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research; Japan Society for the Promotion of Science; Canada First Research Excellence Fund; U.S. Department of Energy; Simons Foundation; Canada Foundation for Innovation","keywords":"Computer science; Artificial intelligence","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":[0.0001709487,0.0003650319,0.0002089881,0.0002791753,0.0004890761,0.0005337383,0.0005264927,0.0004722564,0.003693393],"category_scores_gemma":[0.0004490369,0.0002017649,0.0003218996,0.0002036937,0.0005311017,0.0007639989,0.0003081659,0.0005493917,0.000324959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000471697,"about_ca_system_score_gemma":0.0005886023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001774398,"about_ca_topic_score_gemma":0.002995838,"domain_scores_codex":[0.999948,0.000009041045,0.00000247492,0.000009925271,0.0000183498,0.00001218146],"domain_scores_gemma":[0.9998699,0.00006887107,0.00001856396,0.00002036021,0.00001288853,0.000009298419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001025564,0.0002758952,0.005391059,0.0002556477,0.00007766796,0.0004230124,0.0003535496,0.6554949,0.1864282,0.1411867,0.0006549783,0.009355818],"study_design_scores_gemma":[0.000005009455,0.00003264448,0.001377285,0.000006762465,0.00001244054,0.00003636969,0.00006517943,0.9721699,0.01738849,0.008252184,0.0006425297,0.00001121464],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9282094,0.0001703515,0.05705115,0.000264807,0.00002338101,0.00003991379,0.0003526683,0.0001730314,0.01371536],"genre_scores_gemma":[0.99357,0.0001233832,0.004848056,0.00001803179,0.000003389042,0.00003119065,0.0001209181,0.00006459445,0.001220289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003693393,"threshold_uncertainty_score":0.01235569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04588673668693337,"score_gpt":0.3194673033663106,"score_spread":0.2735805666793772,"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."}}