{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001133105,0.0007561867,0.0009380575,0.003023091,0.001162264,0.00514527,0.000892673,0.001971573,0.7554401],"category_scores_gemma":[0.002546988,0.0003284568,0.0007671283,0.001798477,0.0007867159,0.001644151,0.00186324,0.001915436,0.7227673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001873093,"about_ca_system_score_gemma":0.002188681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003052119,"about_ca_topic_score_gemma":0.005613712,"domain_scores_codex":[0.9989676,0.00009578707,0.00005353424,0.0001592523,0.000616456,0.0001072458],"domain_scores_gemma":[0.9980866,0.000262123,0.00008478812,0.000233815,0.001003646,0.0003290811],"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":[0.00002458203,0.00002841158,0.0001530708,0.0002021302,0.000005837268,0.00005106116,0.00001472213,0.00003135514,0.0004529344,0.001650197,0.9381382,0.05924742],"study_design_scores_gemma":[0.000006499259,0.00001280332,0.0005073374,0.0001125273,0.000003153061,0.00006187254,0.00002090553,0.00003249979,0.0001425477,0.0003237783,0.9987729,0.000003160588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001105543,0.009171971,0.0004537695,0.008910884,0.01416776,0.0001106876,0.002694148,0.001534269,0.9618508],"genre_scores_gemma":[0.004100608,0.00390765,0.0002988569,0.002266563,0.004038095,0.00003697688,0.001490345,0.0003387124,0.9835222],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2445599,"threshold_uncertainty_score":0.348835,"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."}}