{"id":"W2246094581","doi":"10.1103/physrevb.89.224511","title":"Evidence for<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:msub><mml:mi>SrHo</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant=\"normal\">O</mml:mi><mml:mn>4</mml:mn></mml:msub></mml:math>and<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:msub><mml:mi>SrDy</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant=\"normal\">O</mml:mi><mml:mn>4</mml:mn></mml:msub></mml:math>as model<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:msub><mml:mi>J</mml:mi><mml:mn>1</mml:mn></mml:msub></mml:math>-<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:msub><mml:mi>J</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math>zigzag chain materials","year":2014,"lang":"lv","type":"article","venue":"Physical Review B","topic":"Advanced Condensed Matter Physics","field":"Physics and Astronomy","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Regroupement Québécois sur les Matériaux de Pointe","funders":"","keywords":"Computer science","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":[0.01712375,0.001944526,0.001136575,0.004459628,0.005337147,0.01417937,0.006423649,0.006710264,0.2301246],"category_scores_gemma":[0.09815469,0.001672238,0.004130289,0.004649155,0.005187712,0.02247746,0.00500045,0.007997439,0.08222389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008514297,"about_ca_system_score_gemma":0.0119504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06320178,"about_ca_topic_score_gemma":0.06463422,"domain_scores_codex":[0.9799462,0.005293109,0.001983286,0.004032025,0.007332929,0.00141246],"domain_scores_gemma":[0.9013179,0.03364885,0.005299513,0.02099377,0.03561894,0.003121005],"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":[0.001123201,0.0005769468,0.01299367,0.00252495,0.0003705784,0.001274266,0.004031739,0.001377051,0.002617222,0.3796148,0.5193146,0.07418089],"study_design_scores_gemma":[0.0002234472,0.0001268203,0.008539896,0.0027749,0.0003250753,0.0006817828,0.004135958,0.004409003,0.005086065,0.07756633,0.8959936,0.0001370408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02351627,0.003967758,0.06203826,0.07861666,0.005179124,0.0005915859,0.02310798,0.00479428,0.7981881],"genre_scores_gemma":[0.4505114,0.009147204,0.07856928,0.04415461,0.002290882,0.001281982,0.07595836,0.01032715,0.3277591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2301246,"threshold_uncertainty_score":0.7698434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02425149840816191,"score_gpt":0.2628959949080051,"score_spread":0.2386444964998432,"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."}}