{"id":"W3017362657","doi":"10.5604/01.3001.0014.0456","title":"Linear ordering of objects as applied to assesing economic activity of populations in voivodships","year":2020,"lang":"en","type":"article","venue":"Wiadomości Statystyczne The Polish Statistician","topic":"Polish socio-economic development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TOPSIS; Basis (linear algebra); Population; Feature (linguistics); Group (periodic table); Quarter (Canadian coin); Computer science; Data mining; Mathematics; Statistics; Artificial intelligence; Pattern recognition (psychology); Operations research; Geography; Medicine; Geometry","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":[0.006870263,0.0005672643,0.000596216,0.006609135,0.0006461866,0.003191523,0.0008145191,0.0004769417,0.003214418],"category_scores_gemma":[0.03287858,0.00019126,0.0007795179,0.007963777,0.001854804,0.001848894,0.001745663,0.0007624751,0.0004073397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014025,"about_ca_system_score_gemma":0.001216893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008592461,"about_ca_topic_score_gemma":0.005843522,"domain_scores_codex":[0.9898774,0.006077616,0.0007036498,0.001097853,0.001815289,0.0004282587],"domain_scores_gemma":[0.9792004,0.01511392,0.001936759,0.001608251,0.001815307,0.0003253506],"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":[0.001178134,0.000201881,0.4263976,0.0009665325,0.0007503281,0.0004578843,0.008468791,0.03527823,0.003606501,0.07542241,0.002168303,0.4451035],"study_design_scores_gemma":[0.0001067272,0.001482842,0.5846952,0.0005070305,0.0003704243,0.0007181952,0.02246389,0.2164293,0.008505357,0.148766,0.01567249,0.0002825626],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6814594,0.0009712614,0.298402,0.0003522093,0.0001209516,0.0003217232,0.001593664,0.0004670672,0.01631166],"genre_scores_gemma":[0.916641,0.0002017351,0.08099417,0.00002201938,0.00002320936,0.0001787255,0.0007546697,0.00003885812,0.001145611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008592461,"threshold_uncertainty_score":0.03633392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0993324819315035,"score_gpt":0.2994816338556513,"score_spread":0.2001491519241478,"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."}}