{"id":"W2158321093","doi":"","title":"DECLINING ENROLMENT IN ONTARIO: WHAT CAN HISTORY TELL US AND WHERE DO WE GO FROM HERE?","year":2014,"lang":"en","type":"article","venue":"","topic":"Social Issues and Policies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demographics; Phenomenon; Economic growth; Population; Demographic economics; Political science; Higher education; Demographic change; Geography; Development economics; Economics; Demography; Sociology","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":[0.001750066,0.0002099003,0.0006327327,0.001817897,0.004133171,0.003224701,0.001311498,0.00112178,0.007560435],"category_scores_gemma":[0.006316041,0.0002325373,0.0004843465,0.004904621,0.003414101,0.002773162,0.002040745,0.002187381,0.0006438546],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07050373,"about_ca_system_score_gemma":0.08747991,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9927925,"about_ca_topic_score_gemma":0.9959185,"domain_scores_codex":[0.9982717,0.0001082345,0.0001209949,0.0001553684,0.0005355453,0.0008081054],"domain_scores_gemma":[0.9925709,0.000511893,0.0009924321,0.0001856575,0.003111656,0.002627446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003071486,0.0001421916,0.6076044,0.002349368,0.0001546512,0.001166083,0.05324319,0.0005879597,0.0007060601,0.02174483,0.1027581,0.2092359],"study_design_scores_gemma":[0.00001181235,0.00005716546,0.8224946,0.001196744,0.00005373932,0.0001518239,0.01842882,0.0002362182,0.000108324,0.001769085,0.1554035,0.00008826687],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.497427,0.04709771,0.0006207536,0.3629477,0.0009499002,0.0001252019,0.015504,0.0001093954,0.07521833],"genre_scores_gemma":[0.9330655,0.03793503,0.0003475577,0.008443229,0.0004396131,0.00005542715,0.003725359,0.00005421857,0.015934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9294963,"threshold_uncertainty_score":0.5115428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0334384776905812,"score_gpt":0.2879359843147805,"score_spread":0.2544975066241992,"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."}}