{"id":"W2350612395","doi":"","title":"Urban Integraion Model in Ethnic Autonomous Regions: A case of Yanji Longjing Tumen Area","year":2013,"lang":"en","type":"article","venue":"Shijie dili yanjiu","topic":"Evaluation Methods in Various Fields","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Ethnic group; Economic geography; China; Urbanization; Pace; Geography; Mode (computer interface); Nationality; Regional science; Political science; Computer science; Economic growth; Geodesy; Immigration","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":[],"category_scores_codex":[0.001507193,0.0002139268,0.0002951012,0.000130212,0.00007690794,0.00002455646,0.0003568623,0.0002135911,0.002097242],"category_scores_gemma":[0.000628402,0.0002018168,0.0001025016,0.0004733814,0.0002254289,0.0004463692,0.0002606601,0.0004151869,0.0002313499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003933613,"about_ca_system_score_gemma":0.00005970228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00587725,"about_ca_topic_score_gemma":0.002609378,"domain_scores_codex":[0.9978823,0.0003076901,0.0005623327,0.0004711766,0.0003296229,0.00044687],"domain_scores_gemma":[0.998697,0.0002871594,0.0001917549,0.0006430474,0.00002910788,0.00015186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001580315,0.001849915,0.2435985,0.000259381,0.000122329,0.0008533968,0.08088404,0.256176,0.0567834,0.01410075,0.05003517,0.2951791],"study_design_scores_gemma":[0.0009533322,0.0001608709,0.02234173,0.0001156735,0.00004197181,0.0002104384,0.001950069,0.9096033,0.002914891,0.06092159,0.0002039363,0.0005821731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562637,0.0001307549,0.02178786,0.0004881944,0.0001195099,0.0006706387,0.000005526642,0.0000746157,0.02045921],"genre_scores_gemma":[0.960925,0.00002187885,0.03655857,0.000283242,0.00001821347,0.0001033569,0.000006013679,0.00002692234,0.002056744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6534273,"threshold_uncertainty_score":0.998815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07590533623237829,"score_gpt":0.3412892311909472,"score_spread":0.2653838949585689,"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."}}