{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008423203,0.0008802409,0.001617294,0.004552361,0.01010542,0.01148945,0.003108738,0.004517439,0.0105329],"category_scores_gemma":[0.02570848,0.0005340707,0.0008490972,0.01077745,0.006483897,0.005678444,0.002492927,0.005954469,0.00142431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1080156,"about_ca_system_score_gemma":0.3496164,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.986655,"about_ca_topic_score_gemma":0.9920738,"domain_scores_codex":[0.9925674,0.001026339,0.0003405674,0.0004253487,0.004226323,0.001414087],"domain_scores_gemma":[0.9693681,0.002487685,0.0006155202,0.0003027728,0.02372116,0.003504638],"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":[0.00002935091,0.000007655943,0.0007871927,0.001971244,0.00004117449,0.00005602813,0.001175386,0.00005378777,0.000058571,0.01131461,0.9379816,0.04652324],"study_design_scores_gemma":[0.00001350474,0.000006120037,0.002586879,0.003715488,0.0000487013,0.00004043182,0.002971832,0.00001403829,0.00004433576,0.001237611,0.9892786,0.00004244159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0008469193,0.5456483,0.0001498983,0.4195449,0.007763957,0.00003083159,0.00131011,0.00003937592,0.02466582],"genre_scores_gemma":[0.04299445,0.7325373,0.001210647,0.1924758,0.003932103,0.0001048663,0.00135027,0.0001547912,0.0252398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1080156,"threshold_uncertainty_score":0.7837118,"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."}}