{"id":"W2281859576","doi":"","title":"Французско-канадский подход к изучению межтерриториальной социально-экономической асимметрии","year":2010,"lang":"ru","type":"article","venue":"Omsk Scientific Bulletin","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Russian federation; Novelty; State (computer science); Political science; Power (physics); Regional science; Geography; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.006449179,0.001032359,0.0009623721,0.0008285653,0.005064593,0.003313391,0.003245868,0.001131369,0.04713687],"category_scores_gemma":[0.001198309,0.001030292,0.0007275976,0.003047772,0.003947862,0.0004742458,0.0007513409,0.001957714,0.05517561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004502272,"about_ca_system_score_gemma":0.002002052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002955952,"about_ca_topic_score_gemma":0.007534341,"domain_scores_codex":[0.9893004,0.0006497023,0.001415505,0.002466125,0.003252186,0.002916081],"domain_scores_gemma":[0.9944136,0.0006902235,0.0007390222,0.001823361,0.0007796093,0.001554191],"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":[0.00006140285,0.0004418557,0.00159476,0.00007685154,0.0001062782,0.00006966377,0.01235822,0.000006102553,0.005553925,0.05150747,0.9131063,0.01511719],"study_design_scores_gemma":[0.000846133,0.00006429962,0.002667962,0.0001454234,0.00009654112,0.00002709514,0.001326039,0.00005923443,0.0009601594,0.004052363,0.9884104,0.001344338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3339217,0.001109506,0.00006174351,0.1709866,0.06507768,0.001816161,0.0002429268,0.0006587374,0.426125],"genre_scores_gemma":[0.4131132,0.0002538243,0.001284928,0.001437147,0.003554005,0.00007081981,0.0001356397,0.0001074215,0.580043],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1695494,"threshold_uncertainty_score":0.9992148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01798795969291541,"score_gpt":0.283864196480906,"score_spread":0.2658762367879906,"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."}}