{"id":"W2981710058","doi":"10.1103/physrevb.100.155305","title":"Atomistic approach to simulate kink migration and kink-pair formation in silicon: The kinetic activation-relaxation technique","year":2019,"lang":"en","type":"article","venue":"Physical review. B./Physical review. B","topic":"Silicon and Solar Cell Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Regroupement Québécois sur les Matériaux de Pointe","funders":"Norges Forskningsråd","keywords":"Kinetic energy; Silicon; Activation energy; Materials science; Relaxation (psychology); Dislocation; Molecular dynamics; Energy (signal processing); Physics; Condensed matter physics; Classical mechanics; Physical chemistry; Chemistry; Optoelectronics; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003391052,0.0003693786,0.0007690925,0.00008904151,0.00005750063,0.00004655982,0.0003326462,0.00007855118,0.000008310142],"category_scores_gemma":[0.00052793,0.0002661744,0.0001981764,0.0009389824,0.00005695005,0.0003613868,0.00009347154,0.0005185175,0.0002178913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000130332,"about_ca_system_score_gemma":0.00001320347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001469604,"about_ca_topic_score_gemma":0.000004140396,"domain_scores_codex":[0.9982255,0.0001510093,0.0005382141,0.000404017,0.0003458004,0.0003354996],"domain_scores_gemma":[0.9986951,0.0003371193,0.000146686,0.0006552441,0.00006969593,0.00009612738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004684955,0.001072302,0.002839581,0.03258772,0.0001373409,0.000003803358,0.001317197,0.01375049,0.3768038,0.2502083,0.005122969,0.3161096],"study_design_scores_gemma":[0.0006537702,0.0002659502,0.01454761,0.01258397,0.0002368628,0.00001111075,0.00005807278,0.8629209,0.05169345,0.02731131,0.02844808,0.001268947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572729,0.009328901,0.02406239,0.00173598,0.00005771679,0.005296306,0.00000489415,0.000457883,0.001783035],"genre_scores_gemma":[0.9793596,0.01826981,0.0002179346,0.001051922,0.00008718844,0.0009138397,0.00004164628,0.00004252022,0.00001549295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8491704,"threshold_uncertainty_score":0.999979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277155043952086,"score_gpt":0.2907780045232525,"score_spread":0.2780064540837317,"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."}}