{"id":"W7018317854","doi":"","title":"The Delimitation of Bipolar Metropolitan Area Within the Kujawsko-Pomorskie Region","year":2014,"lang":"en","type":"other","venue":"Jagiellonian University Repository (Jagiellonian University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Population; Identification (biology); Work (physics); Quarter (Canadian coin)","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":[0.0001858834,0.00015262,0.0001779308,0.001564483,0.0007844185,0.00150755,0.0003029177,0.00026108,0.009393385],"category_scores_gemma":[0.0006180996,0.0001723856,0.000154811,0.00197393,0.0009262754,0.000511846,0.001406155,0.0003047603,0.001000201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461315,"about_ca_system_score_gemma":0.002451058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06188588,"about_ca_topic_score_gemma":0.1409042,"domain_scores_codex":[0.9998713,0.00001615242,0.000007894721,0.00002405836,0.00001919055,0.00006147158],"domain_scores_gemma":[0.9998696,0.00001653985,0.00003034066,0.000009477101,0.00002700697,0.00004690107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002651033,0.0002703465,0.4009967,0.001489836,0.0001518355,0.003700604,0.02221804,0.005870777,0.02249658,0.3217737,0.0534913,0.1648893],"study_design_scores_gemma":[0.00007396697,0.00006075063,0.83029,0.0005083717,0.00004307059,0.0006212285,0.01400405,0.001218198,0.001750346,0.004328441,0.1470706,0.00003104401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8797239,0.001581386,0.001202816,0.0005630675,0.00005774836,0.0001505499,0.003715493,0.00006734778,0.1129376],"genre_scores_gemma":[0.9770325,0.0006948918,0.001193608,0.00004760531,0.00001362922,0.00009675734,0.002005331,0.00005933805,0.01885636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06188588,"threshold_uncertainty_score":0.1230513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111085219253341,"score_gpt":0.1803761610878002,"score_spread":0.1692676391624661,"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."}}