{"id":"W2317100732","doi":"10.1557/jmr.2014.136","title":"Adapted solute drag model for impurity-controlled grain boundary motion","year":2014,"lang":"en","type":"article","venue":"Journal of materials research/Pratt's guide to venture capital sources","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Materials science; Drag; Solvent drag; Impurity; Motion (physics); Grain boundary; Mechanics; Composite material; Classical mechanics; Microstructure; Organic chemistry; Physics","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"],"consensus_categories":[],"category_scores_codex":[0.01057186,0.0003704374,0.001141234,0.0003923682,0.0006167614,0.0009873938,0.001033947,0.0002924547,0.0005699815],"category_scores_gemma":[0.003257006,0.0002544778,0.0003468934,0.0001762945,0.0002360763,0.0006013887,0.0003394308,0.0004160858,0.000102118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001821435,"about_ca_system_score_gemma":0.0002781187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007426555,"about_ca_topic_score_gemma":0.00004459606,"domain_scores_codex":[0.9946623,0.001029342,0.001547391,0.0004790951,0.001288894,0.0009930197],"domain_scores_gemma":[0.9966303,0.0003595949,0.0006773983,0.0004437475,0.001374302,0.0005147225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003775388,0.00009429377,9.829704e-7,0.0001324176,0.00005420946,0.00001090109,0.001346243,0.001208897,0.9655871,0.001447475,0.02549984,0.0008422323],"study_design_scores_gemma":[0.00533589,0.002071531,0.00002564741,0.0002515368,0.00008630821,0.0001166761,0.0005531685,0.002621154,0.899221,0.02436336,0.0648882,0.0004655163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665236,0.001136422,0.02614082,0.002938921,0.001775292,0.001171564,0.000140981,0.00004874598,0.0001236034],"genre_scores_gemma":[0.9898829,0.00006044247,0.006002112,0.0005255539,0.001939215,0.00007151587,0.00001502662,0.00007050332,0.001432739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06636611,"threshold_uncertainty_score":0.9999908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03141957904170254,"score_gpt":0.3179042600763042,"score_spread":0.2864846810346016,"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."}}