{"id":"W4240213570","doi":"10.1002/cjs.11227","title":"Interdisciplinary sojourns","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reflection (computer programming); Gold medal; Engineering ethics; Library science; Sociology; Political science; Medical education; Computer science; Engineering; History; Medicine; Art history","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.01642239,0.0006057304,0.0008040001,0.001939965,0.01513693,0.008971364,0.002439938,0.004012179,0.05066102],"category_scores_gemma":[0.04219877,0.0003889066,0.001022963,0.002028547,0.00880261,0.007576911,0.02050282,0.008901122,0.006843985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01074257,"about_ca_system_score_gemma":0.01566069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005992372,"about_ca_topic_score_gemma":0.01280629,"domain_scores_codex":[0.9745677,0.01419213,0.000642104,0.002525808,0.004269529,0.003802681],"domain_scores_gemma":[0.9411101,0.01187105,0.002798998,0.005311656,0.007550076,0.03135815],"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":[0.0001873811,0.0003166659,0.007379219,0.0002569089,0.00006513634,0.0009956259,0.04593044,0.0005846393,0.0003405033,0.3892252,0.4330353,0.1216831],"study_design_scores_gemma":[0.00001735659,0.00004214991,0.002763876,0.0004519027,0.000008725941,0.0004079417,0.0299162,0.0004510278,0.0001172994,0.08445808,0.8813244,0.00004110038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.09784709,0.01276484,0.0255428,0.460692,0.03460205,0.0002564943,0.0006842035,0.0007313108,0.3668792],"genre_scores_gemma":[0.7490103,0.004890002,0.009383087,0.05065452,0.006201428,0.000341752,0.0004912915,0.0008540527,0.1781736],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05066102,"threshold_uncertainty_score":0.169478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05292531159923715,"score_gpt":0.3353048787466967,"score_spread":0.2823795671474596,"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."}}