{"id":"W4407909757","doi":"10.1016/j.jssc.2025.125257","title":"Thermodynamic behaviour of the <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si103.svg\" display=\"inline\" id=\"d1e1706\"> <mml:msub> <mml:mrow> <mml:mi>τ</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>11</mml:mn> </mml:mrow> </mml:msub> </mml:math> -Al <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si104.svg\" display=\"inline\" id=\"d1e1716\"> <mml:msub> <mml:mrow/> <mml:mrow> <mml:mn>4</mml:mn> </mml:mrow> </mml:msub> </mml:math> Fe1.7Si solid solutions from 0 K to 1270 K","year":2025,"lang":"lv","type":"article","venue":"Journal of Solid State Chemistry","topic":"Intermetallics and Advanced Alloy Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Scalable Vector Graphics; Chemistry; Computer science; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.003667964,0.002673418,0.001322922,0.001090373,0.003259588,0.002809151,0.006186937,0.004464907,0.1346862],"category_scores_gemma":[0.002600136,0.004303294,0.005172458,0.002319795,0.003332306,0.003345575,0.005014396,0.005804341,0.00195991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001367558,"about_ca_system_score_gemma":0.004045355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002304519,"about_ca_topic_score_gemma":0.002498727,"domain_scores_codex":[0.9790806,0.0007194523,0.005816157,0.003501324,0.005252119,0.005630324],"domain_scores_gemma":[0.983565,0.002235012,0.005763623,0.005056476,0.000754726,0.002625186],"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":[0.004825277,0.001924166,0.00004996109,0.005286278,0.008506788,0.005182318,0.005293665,0.02614608,0.1039118,0.6100616,0.2251392,0.003672893],"study_design_scores_gemma":[0.003288449,0.00153492,0.0001671672,0.004355542,0.003482936,0.002657729,0.003659636,0.2394969,0.7318581,0.000170295,0.006297491,0.003030801],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8161237,0.003233176,0.002141343,0.001638241,0.005999141,0.0001457422,0.00305246,0.0004926508,0.1671735],"genre_scores_gemma":[0.9773369,0.004883729,0.003740745,0.002324962,0.003884293,0.001552321,0.002913141,0.002024187,0.001339757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6279463,"threshold_uncertainty_score":0.9993801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476622136399281,"score_gpt":0.2427190662466757,"score_spread":0.2279528448826829,"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."}}