{"id":"W4247320627","doi":"10.1017/9781139048040.018","title":"First-Quantized Methods","year":2020,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Perimeter Institute","funders":"","keywords":"Content (measure theory); Computer science; Information retrieval; Mathematics","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":[0.0005656717,0.0006575008,0.001128545,0.0001873044,0.0002375803,0.00005187283,0.0007839833,0.000675236,0.00001388452],"category_scores_gemma":[0.000244498,0.0007358807,0.0006902441,0.00001430971,0.0002194644,0.00005932357,0.0007626666,0.0008518696,0.000001171457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002027542,"about_ca_system_score_gemma":0.000114799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003915569,"about_ca_topic_score_gemma":0.000003387966,"domain_scores_codex":[0.9978096,0.0002565756,0.0003932155,0.0008164374,0.0003467632,0.0003773587],"domain_scores_gemma":[0.9969899,0.0009623611,0.0004611779,0.0009977603,0.0002090559,0.0003797622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000140183,0.000009634901,1.391558e-7,0.0004430079,0.0002984326,0.0003960603,0.00007948444,3.127156e-7,0.00007205841,0.9010124,0.09514352,0.002404768],"study_design_scores_gemma":[0.0008695214,0.00006991093,2.380549e-7,0.0002480574,0.0006656496,0.00001870632,0.0000406386,0.0003104841,0.0005871711,0.0005720251,0.9958821,0.0007354749],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000006901936,0.0001770485,0.07820724,0.00007294031,0.0004305381,0.0006547816,0.0002065026,0.0003717918,0.9198723],"genre_scores_gemma":[0.00001494146,0.0001375817,0.1338909,0.000128909,0.0002403999,0.000001509659,0.00002212931,0.00013163,0.865432],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9007386,"threshold_uncertainty_score":0.9995092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1083187711558731,"score_gpt":0.3152214058055255,"score_spread":0.2069026346496524,"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."}}