{"id":"W2369713343","doi":"","title":"Spatial structure optimization of city-town concentrated area of Lanzhou-Xining in the view of principal functional zones","year":2010,"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":"Geography; Principal (computer security); Common spatial pattern; Economic geography; Regional development; Regional science; Ecology; Computer science","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":[0.0004766239,0.0001382015,0.0005381227,0.0001901518,0.00006135338,0.00002109268,0.0002431753,0.0001249904,0.001257427],"category_scores_gemma":[0.0001211317,0.0001239239,0.0001386524,0.0003215109,0.0001405364,0.0001419699,0.00003903622,0.0002098618,0.000002640482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002277858,"about_ca_system_score_gemma":0.00004472424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001704259,"about_ca_topic_score_gemma":0.0008659346,"domain_scores_codex":[0.9985222,0.00002454979,0.0009522489,0.0002515284,0.00007465139,0.0001748315],"domain_scores_gemma":[0.9986962,0.0001094906,0.0008305699,0.0002427055,0.00008690399,0.00003414471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001617932,0.0002422843,0.7116737,0.0001791813,0.0002961319,0.000003150723,0.002979513,0.1861026,0.003024549,0.09265175,0.0001014481,0.002583838],"study_design_scores_gemma":[0.002705072,0.0002395785,0.5572089,0.0001991016,0.0001063494,0.00002004138,0.001284917,0.4167898,0.004243311,0.01455737,0.001880536,0.0007650875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972961,0.0001830293,0.02382936,0.0001353203,0.0002637571,0.0001511816,0.0001218847,0.000007084436,0.00234736],"genre_scores_gemma":[0.9984998,0.00006424134,0.001145723,0.00005118451,0.00007812123,0.000004560762,0.00008450314,0.00001130284,0.00006059045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2306871,"threshold_uncertainty_score":0.9996555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03408073909975737,"score_gpt":0.2098860738723353,"score_spread":0.175805334772578,"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."}}