{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006161145,0.0001474396,0.000382475,0.00004526657,0.000009279795,0.000005357693,0.0001630848,0.00004924102,0.002051504],"category_scores_gemma":[0.00001361953,0.0001293465,0.0001110328,0.0001764045,0.00004877951,0.00005594354,0.00002484911,0.0001742841,0.000593941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000018732,"about_ca_system_score_gemma":0.000003961481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007171619,"about_ca_topic_score_gemma":0.000003335574,"domain_scores_codex":[0.9992455,0.00002466718,0.0002682456,0.000151032,0.0001193731,0.0001911854],"domain_scores_gemma":[0.9995729,0.00004870478,0.00002380581,0.0003084562,0.00001035456,0.00003576525],"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":[0.00001936741,0.000321478,0.006191992,0.002900764,0.00005336909,0.00003584367,0.0002768204,0.0008250489,0.9210926,0.0004258662,0.0088606,0.05899629],"study_design_scores_gemma":[0.004433395,0.0003282642,0.06645849,0.006931784,0.0002857725,0.00005265327,0.0001214358,0.1003072,0.6190562,0.02742812,0.171788,0.002808708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892002,0.004286532,0.00001519334,0.0003075459,0.0000131418,0.0002000623,0.000003964968,0.0001434633,0.005829843],"genre_scores_gemma":[0.9939425,0.004959901,0.0000227193,0.0008066971,0.00002158794,0.00002409449,0.000006050466,0.00002384862,0.0001925782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3020363,"threshold_uncertainty_score":0.9988608,"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."}}