{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001062365,0.0001097514,0.0002725986,0.0002121087,0.0001210615,0.00004904997,0.0002265152,0.00005820221,0.000124302],"category_scores_gemma":[0.001569721,0.00009441447,0.00007585777,0.00007976983,0.00008143459,0.00005917117,0.00002366233,0.0002630143,4.212721e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001051849,"about_ca_system_score_gemma":0.0004590531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001189254,"about_ca_topic_score_gemma":0.01057186,"domain_scores_codex":[0.9989417,0.0001328259,0.0004458112,0.00007257801,0.0001480257,0.0002590581],"domain_scores_gemma":[0.998002,0.0005452704,0.0002923229,0.0001710359,0.0003096916,0.0006796981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000190948,0.00002589257,0.001095576,0.00012172,0.00009003493,0.0004941876,0.002840924,0.00001749485,0.00008945606,0.515375,0.386624,0.09320658],"study_design_scores_gemma":[0.001138534,0.0007517802,0.0009163706,0.0003329205,0.0002137985,0.001094732,0.00180603,0.002269253,0.0002000495,0.7795659,0.2112236,0.0004870216],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01739248,0.0001002893,0.9649489,0.000652248,0.001230382,0.00005984708,0.0001172863,0.000006088737,0.0154925],"genre_scores_gemma":[0.5180045,0.000009862613,0.4799956,0.0002178416,0.0005428575,7.474037e-7,0.000002703454,0.00003390118,0.001192012],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.500612,"threshold_uncertainty_score":0.5899348,"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."}}