{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000176807,0.0001525731,0.0001227473,0.000663604,0.000390348,0.001545419,0.0001451082,0.0001717306,0.06834207],"category_scores_gemma":[0.001208299,0.000107788,0.0001294785,0.001268081,0.0003334339,0.0009552712,0.0005413961,0.0003543065,0.008431235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008825454,"about_ca_system_score_gemma":0.0005428318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006262099,"about_ca_topic_score_gemma":0.009749556,"domain_scores_codex":[0.9999021,0.00001650377,0.000005128814,0.00002121241,0.00003990797,0.00001510041],"domain_scores_gemma":[0.9997368,0.0000821972,0.0000428029,0.00002270355,0.00006955393,0.0000458867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007872068,0.0001819489,0.06040276,0.00056487,0.00003305891,0.0001335605,0.007259843,0.002150509,0.001448936,0.165365,0.1986142,0.5637666],"study_design_scores_gemma":[0.000009696699,0.0001138928,0.3561567,0.0005614691,0.00003356961,0.0003082451,0.0122851,0.002016332,0.001200407,0.03242319,0.5948697,0.0000216893],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.16901,0.004568795,0.004994872,0.006055326,0.0001959368,0.0001145095,0.007002697,0.0002006984,0.8078571],"genre_scores_gemma":[0.7183364,0.007159245,0.004550261,0.0001867168,0.0001087389,0.0001042225,0.005132404,0.0001322384,0.2642899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06834207,"threshold_uncertainty_score":0.228627,"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."}}