{"id":"W4386695086","doi":"10.47386/2020v2n1a1","title":"URBAN ANALYSIS AND MULTI-LEVEL MODELS. AN INTRODUCTION","year":2020,"lang":"en","type":"article","venue":"","topic":"Urban Planning and Valuation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Index (typography); Econometrics; Variable (mathematics); Multilevel model; Hedonic pricing; Variables; Economics; Statistics; Geography; Computer science; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00249145,0.0009439772,0.0008761479,0.001658722,0.0005377823,0.002110211,0.002133481,0.001781919,0.02227845],"category_scores_gemma":[0.006844552,0.0007646708,0.002675434,0.002255362,0.001222169,0.002238429,0.002260225,0.002888741,0.003087842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616234,"about_ca_system_score_gemma":0.000742244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005116622,"about_ca_topic_score_gemma":0.007045304,"domain_scores_codex":[0.9985037,0.001018012,0.00006754325,0.0001601275,0.0001795543,0.00007126536],"domain_scores_gemma":[0.994045,0.004690876,0.0003551605,0.0004764108,0.0002912013,0.0001414977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001475848,0.00003604636,0.001633916,0.0002539476,0.0001332877,0.0001461491,0.0002257507,0.07988676,0.0001374778,0.8779428,0.01552699,0.02406227],"study_design_scores_gemma":[0.000005324554,0.0000208023,0.000733259,0.0001406479,0.00003361649,0.0001115346,0.00008409489,0.230424,0.00008440197,0.7199059,0.04843564,0.00002081506],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002542416,0.009522847,0.9619754,0.00411353,0.0004472109,0.00004875662,0.001089482,0.0005155177,0.01974497],"genre_scores_gemma":[0.3718784,0.02348313,0.5544288,0.002351379,0.003175093,0.0008462825,0.00227268,0.001196464,0.04036767],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02227845,"threshold_uncertainty_score":0.07452887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1148425265175478,"score_gpt":0.2645412418608012,"score_spread":0.1496987153432534,"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."}}