{"id":"W2625752812","doi":"10.1007/978-3-319-51149-8_7","title":"Aspects of the Quality of Life in Prince George: A Case Study in Canada","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"New Zealand Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"George (robot); Happiness; Variance (accounting); Variety (cybernetics); Psychology; Quality of life (healthcare); Quality (philosophy); Order (exchange); Life satisfaction; Social psychology; Statistics; Economics; Computer science; Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007401688,0.0003427129,0.0005327412,0.0013236,0.01221798,0.002606164,0.001601856,0.00135902,0.003081002],"category_scores_gemma":[0.002026007,0.0002859012,0.0004968165,0.005738476,0.002661778,0.0007719079,0.001936495,0.001864744,0.000193953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0686948,"about_ca_system_score_gemma":0.05132477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965513,"about_ca_topic_score_gemma":0.9988675,"domain_scores_codex":[0.9990552,0.0001625697,0.00002079359,0.00005086,0.0001910258,0.000519522],"domain_scores_gemma":[0.9986475,0.0002685231,0.0001134572,0.00002937256,0.0003817113,0.0005595222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003549322,0.0007253777,0.4741574,0.0004481602,0.0001928324,0.01830989,0.3623053,0.002524857,0.0006850247,0.02233009,0.02721465,0.09075157],"study_design_scores_gemma":[0.00002231559,0.0001085333,0.5096325,0.0003788143,0.00007967868,0.001969581,0.4605611,0.001172813,0.000182637,0.0009514611,0.02485032,0.00009023028],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811811,0.002154383,0.000114995,0.002974495,0.00002251035,0.00003994241,0.0003750051,0.000004482508,0.01313312],"genre_scores_gemma":[0.99097,0.002253114,0.0002175267,0.0002168059,0.000006695298,0.00001465093,0.0001610295,0.000007535878,0.006152643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0686948,"threshold_uncertainty_score":0.498418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07744065514388258,"score_gpt":0.2574241842036647,"score_spread":0.1799835290597821,"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."}}