{"id":"W7098929874","doi":"","title":"Quality of Life in Canadian MunicipalitiesFCM’s Quality of Life Reporting System","year":2013,"lang":"en","type":"article","venue":"","topic":"Plant Taxonomy and Phylogenetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recession; Variety (cybernetics); Quality of life (healthcare); Quality (philosophy); Data quality; National accounts; Social life; Economic data","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001833957,0.00009417917,0.0004422716,0.00001724334,0.00004910058,0.00001346271,0.0002150704,0.000109482,0.0003840037],"category_scores_gemma":[0.0009898796,0.00003816373,0.0000856986,0.0001973723,0.00005353438,0.00005205447,0.00004002416,0.00007625973,0.000009148338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003617323,"about_ca_system_score_gemma":0.0001043638,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9651657,"about_ca_topic_score_gemma":0.928926,"domain_scores_codex":[0.9974294,0.0002906659,0.00165771,0.0001654762,0.0001625842,0.0002941578],"domain_scores_gemma":[0.9981519,0.0003906884,0.0009544758,0.00009605208,0.0001072581,0.0002996562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007541196,0.00002701498,0.978521,0.00009128556,0.0000110919,5.089228e-7,0.00009809921,0.00001284565,0.01491736,0.004915435,0.0001423414,0.0012555],"study_design_scores_gemma":[0.00006905685,0.00002902368,0.9946077,0.00002499958,0.000001456775,5.483533e-7,0.003393327,0.00007574647,0.0006297061,0.00007735629,0.0009760425,0.000114975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814163,0.000105683,7.968001e-7,0.00026598,0.00005253862,0.0001942731,0.0001038833,0.00001425326,0.01784623],"genre_scores_gemma":[0.9995224,0.000006367041,0.00008496726,0.0001604634,0.0000445418,0.00001180355,0.00002731516,3.748671e-7,0.0001417673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0362397,"threshold_uncertainty_score":0.4204571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1373651006375893,"score_gpt":0.2778654611196597,"score_spread":0.1405003604820703,"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."}}