{"id":"W1562127043","doi":"10.48550/arxiv.cond-mat/0108141","title":"Point defects in models of amorphous silicon and their role in structural relaxation","year":2001,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Thin-Film Transistor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Amorphous solid; Crystallographic defect; Materials science; Annealing (glass); Relaxation (psychology); Silicon; Amorphous silicon; Valence (chemistry); Molecular dynamics; Condensed matter physics; Chemical physics; Molecular physics; Crystallography; Crystalline silicon; Chemistry; Physics; Computational chemistry","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":[0.00007964881,0.0002388489,0.0003355175,0.0005031279,0.00001440101,0.000009244226,0.0002727044,0.0003897196,0.000004932649],"category_scores_gemma":[0.00001588501,0.0002735902,0.00006678177,0.000333721,0.00008331213,0.0001864588,0.00016863,0.0005811276,0.000001083218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000301395,"about_ca_system_score_gemma":0.00002025101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000655055,"about_ca_topic_score_gemma":0.001608647,"domain_scores_codex":[0.9991659,0.00003401353,0.0001944322,0.0003658731,0.00003246639,0.0002073402],"domain_scores_gemma":[0.9994413,0.00004331779,0.00007813334,0.0003826053,0.00002283412,0.0000318053],"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":[0.00002560205,0.00001053445,0.01047351,0.0001252133,0.00001950218,0.00004994899,0.0006434167,0.9810473,0.002561761,0.004674161,0.000001965005,0.0003671231],"study_design_scores_gemma":[0.0005520283,0.00002307457,0.02480066,0.0001674718,0.00001811115,0.000004127104,0.0006606951,0.8698793,0.00463865,0.09893768,0.000003532225,0.0003146879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950785,0.0004861351,0.002951031,0.000005571235,0.00009636441,0.0002410347,0.00001766621,0.0002920016,0.000831716],"genre_scores_gemma":[0.999349,0.0004958885,0.00009282063,0.000002324635,0.000005405013,0.000001000688,0.00000901507,0.00002620689,0.00001834204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.111168,"threshold_uncertainty_score":0.9999716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02601230523347539,"score_gpt":0.1493047954920135,"score_spread":0.1232924902585381,"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."}}