{"id":"W4411483972","doi":"10.1103/tr8c-pxbr","title":"Intermediate phases in <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:mi>α</mml:mi> <mml:mtext>−</mml:mtext> <mml:msub> <mml:mi>RuCl</mml:mi> <mml:mn>3</mml:mn> </mml:msub> </mml:mrow> </mml:math> under in-plane magnetic field via interlayer spin interactions","year":2025,"lang":"lv","type":"article","venue":"Physical review. B./Physical review. B","topic":"Advanced Condensed Matter Physics","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario; Canada Research Chairs; University of Toronto; Canada Foundation for Innovation; Compute Canada","keywords":"Computer science; Algorithm; Mathematics","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":[0.00007757006,0.0003117479,0.0002881913,0.0004597124,0.0009069795,0.001269383,0.0005685599,0.0005399921,0.01675567],"category_scores_gemma":[0.0002580002,0.0002175764,0.0002635638,0.0002043134,0.0006057064,0.0008982756,0.000640267,0.0007893773,0.001318345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005246563,"about_ca_system_score_gemma":0.0004541789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001296411,"about_ca_topic_score_gemma":0.0024834,"domain_scores_codex":[0.9998533,0.00001341027,0.000005148935,0.00003017436,0.00004329655,0.00005480718],"domain_scores_gemma":[0.9999156,0.00001501291,0.00002325821,0.00001160609,0.0000169783,0.00001759685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000587179,0.0002983567,0.001503082,0.0006541719,0.00005134943,0.0009515544,0.0006718627,0.004900864,0.2666686,0.6867527,0.01994297,0.01701732],"study_design_scores_gemma":[0.0002266117,0.0009948001,0.008678084,0.0002508707,0.00008243416,0.001361834,0.001362812,0.1102579,0.5628936,0.2242876,0.08937567,0.0002277431],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8570856,0.001816128,0.01229741,0.001174474,0.0005073706,0.00008499088,0.0008188527,0.001086504,0.1251286],"genre_scores_gemma":[0.9830328,0.000260787,0.003641269,0.0002423153,0.00003500611,0.00008352777,0.0005385462,0.000196284,0.0119694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01675567,"threshold_uncertainty_score":0.05605328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599401466163141,"score_gpt":0.3033760039415835,"score_spread":0.2873819892799521,"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."}}