{"id":"W4405678805","doi":"","title":"Contribution au calcul des effets de voisinage dans les agrégats polycristallins en combinant la théorie d’Eshelby à une approche de type automate cellulaire","year":2024,"lang":"en","type":"dissertation","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Geotechnical and construction materials studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cellular automaton; Statistical physics; Computer science; Automaton; Theoretical computer science; Crystallite; Materials science; Algorithm; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008252591,0.001013666,0.0009274145,0.0009556863,0.0005089183,0.00261144,0.001932088,0.001874409,0.007598261],"category_scores_gemma":[0.002566665,0.0006900734,0.001307154,0.0009991426,0.0008717942,0.002318483,0.0008738143,0.001361908,0.001391529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001351851,"about_ca_system_score_gemma":0.001419422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0123403,"about_ca_topic_score_gemma":0.01456772,"domain_scores_codex":[0.9994997,0.00007703539,0.00001925163,0.0001323758,0.0002213442,0.00005021507],"domain_scores_gemma":[0.9986538,0.000753921,0.0001110947,0.0001887043,0.0002502635,0.00004222102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001702203,0.0001550615,0.005598648,0.0005004954,0.000128355,0.0002055545,0.0001971173,0.8355967,0.03153506,0.0387098,0.001323141,0.08587991],"study_design_scores_gemma":[0.00001419074,0.00008156782,0.001105621,0.00005498958,0.00005692646,0.0001057628,0.00006054754,0.9684037,0.01037433,0.01102164,0.008688139,0.00003259355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08693497,0.002164817,0.886653,0.0005000568,0.0001747916,0.00008813501,0.0003202499,0.001150911,0.02201309],"genre_scores_gemma":[0.6995929,0.0023793,0.2661714,0.0002850971,0.00006856552,0.0002007687,0.0004391878,0.0007715527,0.03009126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0123403,"threshold_uncertainty_score":0.0254187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004278075004704496,"score_gpt":0.2025393983280061,"score_spread":0.1982613233233016,"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."}}