{"id":"W2886386852","doi":"10.71781/17354","title":"Étude de la formation d'agrégats de défauts ponctuels et d'impuretés de lithium dans le silicium cristallin par méthodes Monte-Carlo cinétique","year":2017,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Semiconductor materials and interfaces","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Montréal; Compute Canada","keywords":"Materials science; Lithium borate; Humanities; Art; Doping; Borate glass","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0008876954,0.0007205894,0.0006622844,0.000192914,0.005666062,0.0005222012,0.0008029191,0.0007847101,0.00006699681],"category_scores_gemma":[0.00009253987,0.0008345667,0.0004792429,0.0001050337,0.0004152719,0.001387492,0.0001681021,0.0007731625,0.00003004254],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004398821,"about_ca_system_score_gemma":0.00400165,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1315009,"about_ca_topic_score_gemma":0.007630944,"domain_scores_codex":[0.9965209,0.0009397794,0.0006292086,0.0006653934,0.0004266634,0.000818035],"domain_scores_gemma":[0.9975061,0.0002413004,0.0009092942,0.0005775798,0.0003107548,0.0004549274],"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":[0.0006152247,0.000386545,0.02397866,0.0003285485,0.0004823736,0.0003715145,0.08038656,0.009869532,0.8421416,0.03962678,0.001063003,0.0007497009],"study_design_scores_gemma":[0.001522362,0.0001695079,0.1205284,0.0009282097,0.0005221962,0.0004312163,0.05517415,0.006757646,0.7936772,0.002582264,0.01661419,0.001092673],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670325,0.003626948,0.006924833,0.0004151276,0.0009274365,0.00047287,0.0003299486,0.000101367,0.02016895],"genre_scores_gemma":[0.9792061,0.0004565469,0.001725054,0.0001111506,0.0004817977,0.0000706147,0.0005700009,0.00007142218,0.01730724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1238699,"threshold_uncertainty_score":0.9994231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009650508997510132,"score_gpt":0.2255857573707516,"score_spread":0.2159352483732414,"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."}}