{"id":"W4381569476","doi":"10.33042/2522-1809-2023-3-177-115-119","title":"THE INTERACTION OF THE FUNCTIONAL CLASSIFICATION OF STREETS AND ROADS AND THE URBAN ENVIRONMENT","year":2023,"lang":"en","type":"article","venue":"Municipal economy of cities","topic":"Literature, Language, and Rhetoric Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Service (business); Functional requirement; Variety (cybernetics); Work (physics); Computer science; Business; Engineering; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0004501845,0.00004110144,0.00009282184,0.00001856988,0.0003472076,0.0000183818,0.00009550991,0.00002540263,0.00001368858],"category_scores_gemma":[0.00005372553,0.00002028852,0.00003686244,0.00004868803,0.001232388,0.00006612157,0.00006094037,0.0000478704,3.9186e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001520392,"about_ca_system_score_gemma":0.00001638134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004764285,"about_ca_topic_score_gemma":0.0004934089,"domain_scores_codex":[0.9995214,0.0001119168,0.0001542618,0.00005912229,0.00008684698,0.00006641963],"domain_scores_gemma":[0.9992743,0.0004415075,0.0001442434,0.0001097491,0.00002056214,0.000009615234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001016083,0.00001801169,0.01902873,0.0000360529,0.0001538667,5.379004e-8,0.3392963,0.00004185118,0.00005452551,0.6338304,0.0021603,0.005278316],"study_design_scores_gemma":[0.0006117166,0.00004394587,0.2309921,0.00004255675,0.00005406031,4.702226e-7,0.6022328,0.0006769531,0.0002290413,0.01802003,0.1470101,0.00008622813],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966616,0.00238864,0.000001670096,0.002679575,0.00027215,0.0001391156,0.000008370206,0.000005088001,0.02788934],"genre_scores_gemma":[0.9974297,0.0007364998,0.000002423202,0.00002562715,0.00008109911,0.000007791778,0.000001383154,0.000001803974,0.001713622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6158104,"threshold_uncertainty_score":0.4540784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042389818859105,"score_gpt":0.2595655561241882,"score_spread":0.2291416579355972,"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."}}