{"id":"W7128339834","doi":"","title":"Plzeň - location, structure, infrastructure and city image","year":2011,"lang":"cs","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urban spatial structure; Geographic information system; Recreation; Quarter (Canadian coin); State (computer science); Urban planning","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":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0002594752,0.000856702,0.0008253217,0.0005612819,0.001577337,0.002539045,0.0007356573,0.001343564,0.0000671692],"category_scores_gemma":[0.001093505,0.0008965898,0.0002960176,0.001266561,0.000915153,0.003289425,0.0001169434,0.0009929038,0.000007667159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003273112,"about_ca_system_score_gemma":0.001625475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001563543,"about_ca_topic_score_gemma":0.00003654278,"domain_scores_codex":[0.9940485,0.0002874578,0.001594625,0.001216335,0.002314798,0.0005382808],"domain_scores_gemma":[0.9900459,0.0003029752,0.001917887,0.0004687887,0.00679881,0.0004656093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002513489,0.001844977,0.4954276,0.006299289,0.003346053,0.0005965822,0.2608444,0.0002421548,0.05609336,0.1350617,0.03189033,0.005840116],"study_design_scores_gemma":[0.002355681,0.0007062579,0.8489527,0.005439454,0.0008351984,0.0008996087,0.01108582,0.0004603352,0.03686349,0.02380463,0.06412125,0.004475551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6624897,0.004985828,0.0001387006,0.00005571836,0.005466397,0.001062205,0.0008125699,0.0002096391,0.3247792],"genre_scores_gemma":[0.9413593,0.00007631713,0.0003750383,0.00009764011,0.001258304,0.00001777421,0.002722589,0.00008254911,0.05401053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3535251,"threshold_uncertainty_score":0.9999529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008286204948721324,"score_gpt":0.2461755949772136,"score_spread":0.2378893900284922,"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."}}