{"id":"W4241060068","doi":"10.5612/slavicreview.71.3.fm","title":"SLR volume 71 issue 3 Cover and Front matter","year":2012,"lang":"en","type":"article","venue":"Slavic Review","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Front cover; Cover (algebra); Volume (thermodynamics); Front (military); Action (physics); Content (measure theory); Environmental science; Geography; Engineering; Meteorology; Mathematics; Physics; Mechanical engineering; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006241694,0.000124039,0.000466448,0.00004591018,0.00007518419,0.000040788,0.0001165259,0.00003519448,0.1654498],"category_scores_gemma":[0.00003095291,0.000120881,0.00009086639,0.00005800845,0.00005471178,0.0002959333,0.00009746746,0.00005871408,0.5753863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003967046,"about_ca_system_score_gemma":0.000003505563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005059241,"about_ca_topic_score_gemma":5.609572e-7,"domain_scores_codex":[0.9990087,0.000009374668,0.0003946528,0.0002733647,0.0000195879,0.0002943896],"domain_scores_gemma":[0.9994339,0.0000124547,0.000171064,0.0002783112,0.00001037109,0.00009392444],"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":[6.743193e-7,0.00001846111,0.05142023,0.000353016,0.0000328172,3.209795e-7,0.0002068181,1.59161e-7,1.452906e-7,0.00159727,0.9447334,0.001636697],"study_design_scores_gemma":[0.000104551,0.000005461074,0.01218096,0.0001318122,0.00001641178,0.000003349121,0.00002301455,0.00001322312,5.790341e-7,0.000193336,0.9871718,0.000155525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001449238,0.4460881,0.00004046301,0.001275228,0.001697171,0.0002208386,0.0001037865,0.0000142858,0.5491109],"genre_scores_gemma":[0.01613439,0.1144496,0.0003015538,0.006286792,0.0002854617,0.00003817588,0.00001047101,0.00001936165,0.8624742],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4099365,"threshold_uncertainty_score":0.8353131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03449724141600743,"score_gpt":0.2334208188218921,"score_spread":0.1989235774058847,"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."}}