{"id":"W4236780936","doi":"10.1090/dol/028/03","title":"Section 2. From The Contest Problem Book VI","year":2019,"lang":"en","type":"book-chapter","venue":"American Mathematical Society eBooks","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"CONTEST; Section (typography); History; Computer science; Philosophy; Theology; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004906396,0.0006764972,0.0004936754,0.0009164761,0.001434644,0.002965279,0.0008424922,0.00160098,0.1698219],"category_scores_gemma":[0.002270559,0.0003214828,0.0005044597,0.001139686,0.001111605,0.003708098,0.001251134,0.00318883,0.04346512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001932971,"about_ca_system_score_gemma":0.001313863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002343709,"about_ca_topic_score_gemma":0.003317362,"domain_scores_codex":[0.9995688,0.0001015762,0.00002095845,0.00007607181,0.0001822056,0.00005037221],"domain_scores_gemma":[0.9994965,0.0002516469,0.00002924739,0.00006697437,0.0001104208,0.0000453052],"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":[0.00001141198,0.00002594023,0.00006286801,0.0001137865,0.000003629661,0.00003713243,0.00008768681,0.0004228373,0.0001066081,0.5504677,0.4109156,0.03774484],"study_design_scores_gemma":[0.00000518343,0.000006831377,0.0001428809,0.000118056,0.000002376361,0.00009977312,0.00005009937,0.0003759112,0.0001201989,0.3607587,0.6383137,0.000006296673],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001233924,0.008283032,0.01385153,0.01460167,0.002916267,0.00004895614,0.0009313933,0.0001337264,0.9579994],"genre_scores_gemma":[0.03501323,0.007798732,0.006690882,0.004891528,0.003751026,0.0001640687,0.001919709,0.0004229879,0.9393477],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1698219,"threshold_uncertainty_score":0.568111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288150870143201,"score_gpt":0.2012405641367782,"score_spread":0.1783590554353461,"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."}}