{"id":"W2377220302","doi":"","title":"The strategy and structural optimization of city group in the upper reach of Yellow River","year":2009,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Status quo; Group (periodic table); Group structure; Geography; Political science; Psychology; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005221501,0.00009658336,0.0002767838,0.000105612,0.0001055176,0.00003764849,0.0002106413,0.00005796801,0.00004099128],"category_scores_gemma":[0.00003981894,0.00006994035,0.00008953326,0.0001838384,0.0001385996,0.0001576561,0.00002084821,0.00009858241,0.000002454351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002551089,"about_ca_system_score_gemma":0.000007774765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006537146,"about_ca_topic_score_gemma":0.0001176721,"domain_scores_codex":[0.9990662,0.00002622208,0.0005252954,0.0001936005,0.00003767705,0.0001510382],"domain_scores_gemma":[0.9993247,0.00008652733,0.0003412403,0.0002025052,0.00002195975,0.00002305507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001036788,0.00009408252,0.2986136,0.00003610611,0.0001489203,0.000002896304,0.005315605,0.06941443,0.0001471719,0.6078105,0.0001876563,0.01812535],"study_design_scores_gemma":[0.0006135843,0.0001558633,0.6994905,0.00002429364,0.00002239752,0.000005749642,0.001194748,0.2046797,0.00007398571,0.09292361,0.0005698985,0.0002456],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892449,0.000891692,0.0032212,0.0004919839,0.00004666553,0.0001135559,0.00001385439,0.000004258763,0.00597183],"genre_scores_gemma":[0.9988526,0.0004170557,0.0004608154,0.00008616635,0.0000372211,0.000002007596,0.00001041544,0.000005105519,0.0001286668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5148869,"threshold_uncertainty_score":0.2852085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02475270895944886,"score_gpt":0.2147988393222716,"score_spread":0.1900461303628227,"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."}}