{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003413665,0.0009792028,0.0009647277,0.0008653587,0.002589686,0.004392359,0.002042013,0.005476568,0.2143266],"category_scores_gemma":[0.01948503,0.0005092519,0.001061901,0.001225961,0.001743087,0.004718396,0.003469205,0.003983089,0.06171761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002446641,"about_ca_system_score_gemma":0.004554732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003005189,"about_ca_topic_score_gemma":0.00209343,"domain_scores_codex":[0.9975661,0.0009392241,0.0001322608,0.0006938616,0.0004231029,0.0002454215],"domain_scores_gemma":[0.9954535,0.002623103,0.0002725635,0.0004761951,0.000883005,0.000291674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001083894,0.00005818885,0.0005876635,0.000534129,0.00002522386,0.0001882721,0.0001810398,0.002350176,0.0001534927,0.3675398,0.5367427,0.09153101],"study_design_scores_gemma":[0.0000514453,0.00003744078,0.0002319163,0.0004392706,0.0000165685,0.0004493594,0.0002617074,0.004468422,0.0002564368,0.5250983,0.4686613,0.00002778841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007265004,0.01134673,0.2652878,0.1455833,0.02009947,0.0014688,0.02010232,0.001041608,0.527805],"genre_scores_gemma":[0.1817556,0.0154555,0.1786928,0.05490207,0.01638487,0.005139575,0.02645739,0.001704552,0.5195076],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7856734,"threshold_uncertainty_score":0.716994,"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."}}