{"id":"W4402770992","doi":"10.1080/00150517.2019.12427627","title":"Problem Section","year":2019,"lang":"en","type":"article","venue":"˜The œFibonacci quarterly","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Section (typography); Geography; Geology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008901129,0.0001874979,0.0002413823,0.00005949073,0.000109325,0.00007267154,0.0002573348,0.0001127212,0.0001330429],"category_scores_gemma":[0.00001124754,0.0001278055,0.0001545949,0.0001667499,0.00002630528,0.0001119859,0.00002261025,0.0002425773,0.00001518042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005017975,"about_ca_system_score_gemma":0.00003207811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005508567,"about_ca_topic_score_gemma":0.0002101566,"domain_scores_codex":[0.9986242,0.0002123625,0.0003075737,0.0002841915,0.0002592816,0.0003123784],"domain_scores_gemma":[0.9987078,0.0003506233,0.0001399957,0.0006521071,0.00008172625,0.00006769544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003722878,0.0007018706,0.005513981,0.0009960589,0.0003875375,0.00003201074,0.02710801,0.0000168532,0.04413019,0.2869908,0.09396461,0.5397858],"study_design_scores_gemma":[0.003789999,0.0034053,0.001499318,0.0002295001,0.0002308821,0.0002396327,0.01264667,0.005218922,0.00103819,0.2707676,0.6992992,0.001634821],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.845131,0.00009847027,0.0187973,0.0006337412,0.00175213,0.001308299,0.000008418228,0.0003334634,0.1319372],"genre_scores_gemma":[0.9595188,0.00000253504,0.01266,0.0002604909,0.0004993149,0.00007354582,0.000004742082,0.00005416665,0.02692639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6053346,"threshold_uncertainty_score":0.5211759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02577574510881496,"score_gpt":0.2986554411280366,"score_spread":0.2728796960192216,"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."}}