{"id":"W2800267714","doi":"10.25336/csp29396","title":"Maximum Canada: What do Canadians wish to maximize?","year":2018,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Privy Council Office; Western University","funders":"","keywords":"Wish; Political science; Economics; Demographic economics; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003466819,0.0001490518,0.000231282,0.0002906238,0.000815032,0.0001191028,0.0002704975,0.00009677067,0.0001383116],"category_scores_gemma":[0.0008227899,0.0001848596,0.00002887431,0.0008618217,0.0002565209,0.0003768919,0.00002302839,0.0001114662,0.00003902788],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00845145,"about_ca_system_score_gemma":0.004100854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999842,"about_ca_topic_score_gemma":0.9999999,"domain_scores_codex":[0.9980927,0.00009042944,0.0002668545,0.0003232818,0.0003154197,0.0009113255],"domain_scores_gemma":[0.9984638,0.00005104112,0.00006702755,0.0002479196,0.0001773203,0.0009929095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000135801,0.000005486377,0.05755001,0.00001794395,0.00004898757,0.0001772842,0.04325065,0.00007406311,8.401925e-7,0.0401932,0.7917335,0.06693443],"study_design_scores_gemma":[0.0001309183,0.0000162916,0.1210558,0.0001403153,0.000006902396,0.000001888642,0.01345388,0.000006126432,0.000001471542,0.002895644,0.8620172,0.0002735328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7805879,0.006417239,0.000008037002,0.1518495,0.009898733,0.001462479,0.0006790641,0.00006047015,0.04903658],"genre_scores_gemma":[0.9787307,0.0002986512,0.00004970007,0.01726523,0.0009051968,0.00003178399,0.000008125946,0.00001710199,0.002693462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1981428,"threshold_uncertainty_score":0.995355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04080219864225021,"score_gpt":0.3258963916498345,"score_spread":0.2850941930075843,"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."}}