{"id":"W2042123334","doi":"10.1103/physrevb.61.9895","title":"Diffusion of hydrogen in crystalline silicon","year":2000,"lang":"en","type":"article","venue":"Physical review. B, Condensed matter","topic":"Silicon and Solar Cell Technologies","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Diffusion; Silicon; Arrhenius equation; Effective diffusion coefficient; Hydrogen; Crystalline silicon; Materials science; Thermodynamics; Chemical physics; Molecular dynamics; Arrhenius plot; Chemistry; Activation energy; Physical chemistry; Computational chemistry; Physics","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":[0.0002841899,0.0003712444,0.0004496975,0.0006392617,0.000569502,0.0007215972,0.0006986224,0.0006535857,0.001532172],"category_scores_gemma":[0.0006906543,0.0003004911,0.0003132208,0.0007361949,0.000831321,0.0008410336,0.0004238401,0.0004668378,0.0001711172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550507,"about_ca_system_score_gemma":0.001063175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.010781,"about_ca_topic_score_gemma":0.008862931,"domain_scores_codex":[0.9999138,0.00001248818,0.000004144293,0.0000128476,0.00003501181,0.00002165788],"domain_scores_gemma":[0.9997948,0.000115669,0.00002693057,0.00001531547,0.00002946064,0.00001784207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001519497,0.00008853227,0.002916667,0.0004155168,0.00009246163,0.0003412322,0.0001722438,0.8619112,0.04427614,0.08003402,0.001076773,0.008523254],"study_design_scores_gemma":[0.00004482327,0.00004253737,0.0007902057,0.00002214205,0.00001623142,0.00003098372,0.00003359898,0.9844786,0.009511973,0.004262515,0.0007419602,0.00002447769],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9551781,0.001846616,0.02507197,0.0005366437,0.00007990467,0.00004573458,0.0004247646,0.0001735387,0.01664264],"genre_scores_gemma":[0.9924473,0.001481109,0.004475614,0.00005083602,0.00001298206,0.00004458386,0.0002380929,0.00003091163,0.001218634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.010781,"threshold_uncertainty_score":0.02143645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008111728291478637,"score_gpt":0.2496699731351925,"score_spread":0.2415582448437138,"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."}}