{"id":"W4247051536","doi":"10.4095/301558","title":"Metropolitan Influenced Zones (MIZ)","year":2010,"lang":"en","type":"report","venue":"","topic":"Cross-Border Cooperation and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Geography; Economic geography; Environmental science; Archaeology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001117751,0.0001870423,0.0002719252,0.0001703572,0.0007353654,0.0005033314,0.0002945419,0.0006682009,0.01459321],"category_scores_gemma":[0.002454733,0.0001544418,0.0001395292,0.0003336862,0.0003843707,0.0002986297,0.00003222001,0.0005457461,0.0003960873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006659856,"about_ca_system_score_gemma":0.004002053,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07671349,"about_ca_topic_score_gemma":0.2496648,"domain_scores_codex":[0.9977567,0.00008740583,0.0003791953,0.0003100966,0.00117022,0.000296337],"domain_scores_gemma":[0.9976171,0.00006628178,0.0001697805,0.0002895807,0.001706601,0.0001506958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006571929,0.0001248822,0.001388352,0.00003485175,0.00006887536,0.000004068108,0.005027825,0.000001105158,0.0007441796,0.548072,0.4084693,0.036058],"study_design_scores_gemma":[0.00006101937,0.00001791868,0.0003598822,0.00001388593,0.00001608314,9.316325e-7,0.003211383,0.000005889481,0.0001120585,0.0004727027,0.9955145,0.0002137762],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002686904,0.0001641933,0.000342272,0.001871608,0.00332225,0.0003047241,0.00002187863,0.0002312837,0.9910549],"genre_scores_gemma":[0.14382,0.001964912,0.001318257,0.0007816125,0.003350742,0.00006065417,0.0002343439,0.0000450649,0.8484244],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5870452,"threshold_uncertainty_score":0.9863076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04645413609874176,"score_gpt":0.439800982576189,"score_spread":0.3933468464774472,"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."}}