{"id":"W2858103943","doi":"10.2478/mgrsd-2018-0008","title":"A thematic cartographic visualization of a small region, based on the example of the Mrozy Commune","year":2018,"lang":"en","type":"article","venue":"Miscellanea Geographica","topic":"Polish socio-economic development","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerstwo Edukacji i Nauki; McMaster University","keywords":"Thematic map; Cartography; Geography; Visualization; Scale (ratio); Presentation (obstetrics); Data presentation; Regional science; Data collection; Data science; Computer science; Data mining; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004003179,0.0002962349,0.0001353163,0.003093313,0.0005434228,0.001713056,0.0002343858,0.0002458127,0.005813116],"category_scores_gemma":[0.00087882,0.0001113877,0.0002301139,0.00439224,0.0004359552,0.0006350118,0.0008577343,0.0002498221,0.0004063767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004418348,"about_ca_system_score_gemma":0.0008499925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01181298,"about_ca_topic_score_gemma":0.02165446,"domain_scores_codex":[0.9998436,0.00007279067,0.000007847325,0.0000181053,0.0000402826,0.00001727877],"domain_scores_gemma":[0.9996492,0.0001642683,0.00003174956,0.00005103093,0.00007768505,0.00002608118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001277815,0.0002486966,0.08195132,0.003752253,0.0003130361,0.01514908,0.1482853,0.04408345,0.06309061,0.1426381,0.09869871,0.4005117],"study_design_scores_gemma":[0.00006063445,0.0001099819,0.2188822,0.0009534878,0.0002149024,0.003655293,0.06671681,0.02428482,0.009779986,0.009767352,0.665415,0.0001595193],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7316144,0.002496869,0.07595301,0.003154797,0.0004355255,0.0003952092,0.01904492,0.002369299,0.164536],"genre_scores_gemma":[0.9414688,0.0008071088,0.04678027,0.00004063721,0.00003933851,0.0001303437,0.001815983,0.0002336566,0.008683731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01181298,"threshold_uncertainty_score":0.02348846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04675094219008274,"score_gpt":0.2061730307255037,"score_spread":0.1594220885354209,"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."}}