{"id":"W7037837079","doi":"","title":"ERIC ED450674: Comparing Ontario and American Public Universities.","year":2000,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Revenue; Higher education; Government (linguistics); Pace; Trend analysis; State government; State (computer science); Order (exchange)","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":[0.001693984,0.0004801052,0.0004197979,0.009233614,0.00208183,0.003373721,0.0009871757,0.0006256453,0.09956106],"category_scores_gemma":[0.009219704,0.0004762355,0.0003458882,0.03550267,0.0004857847,0.001396906,0.001483115,0.0003348952,0.02852401],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02116875,"about_ca_system_score_gemma":0.02988119,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9613224,"about_ca_topic_score_gemma":0.9740534,"domain_scores_codex":[0.9970963,0.0001416819,0.0001480845,0.0001886173,0.00183745,0.0005878249],"domain_scores_gemma":[0.9900966,0.001069612,0.0008877199,0.0003511856,0.006285204,0.001309846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000277929,0.00003779158,0.05943266,0.0003693661,0.00002308043,0.0001133971,0.0009075928,0.0002327089,0.0001786279,0.001525249,0.8770632,0.05983845],"study_design_scores_gemma":[0.00005536826,0.00003160507,0.3204443,0.0001165576,0.00003341002,0.00006505554,0.002969381,0.0004084282,0.0002498016,0.0002198736,0.6753762,0.00002993312],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04799421,0.001460745,0.000490941,0.001825638,0.0001621537,0.0002441197,0.6797982,0.00100879,0.2670153],"genre_scores_gemma":[0.1721299,0.002723483,0.002314242,0.0006967166,0.000132488,0.0003168122,0.4440178,0.0007339478,0.3769346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9788312,"threshold_uncertainty_score":0.333065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008604344806630339,"score_gpt":0.1776528453149612,"score_spread":0.1690485005083309,"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."}}