{"id":"W4386088998","doi":"10.56112/sp.2016.1.04","title":"Hlubočepy : Urban development of a Prague quarter","year":2016,"lang":"en","type":"article","venue":"Staletá Praha","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Geography; Economic geography; Regional 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002472857,0.0001453092,0.0001540245,0.0009869457,0.001922499,0.002707347,0.0004766186,0.0003130292,0.006834236],"category_scores_gemma":[0.0007018894,0.0001890686,0.0002613149,0.001710171,0.001340505,0.001114976,0.003523943,0.0006035057,0.000551637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002224508,"about_ca_system_score_gemma":0.001843898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08233953,"about_ca_topic_score_gemma":0.1642692,"domain_scores_codex":[0.9997501,0.00006124149,0.00001243857,0.00003542158,0.00003515854,0.000105648],"domain_scores_gemma":[0.9998666,0.00002091098,0.00003134811,0.00001278387,0.00001824946,0.00005012229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003974525,0.0003109292,0.7503579,0.0003321448,0.00008395373,0.002571169,0.1228311,0.001331631,0.005114727,0.03272018,0.006123185,0.07782557],"study_design_scores_gemma":[0.000006224483,0.0000906966,0.8838044,0.00007644874,0.00001363013,0.0002824847,0.09084455,0.0004021581,0.0002922784,0.0009853975,0.02317693,0.00002468781],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9795687,0.0005845248,0.0001980612,0.0006254592,0.00001441327,0.00002845144,0.0004713665,0.00001436187,0.01849471],"genre_scores_gemma":[0.9936254,0.0004379074,0.0001164953,0.00003836536,0.000005874811,0.00001946221,0.0001736299,0.000005996219,0.005576795],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08233953,"threshold_uncertainty_score":0.1637205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02255370158419716,"score_gpt":0.281941405360019,"score_spread":0.2593877037758219,"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."}}