{"id":"W2279552103","doi":"10.1007/s10780-016-9278-6","title":"Examining Competition in Ontario’s Higher Education Market","year":2016,"lang":"en","type":"article","venue":"Interchange","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Philosophy of education; Competition (biology); Higher education; Sociology; Pedagogy; Political science; Economics; Economic growth; Ecology","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":[0.003037789,0.0002082021,0.0005138955,0.002858444,0.01468595,0.01039554,0.001438902,0.002326276,0.01169267],"category_scores_gemma":[0.01216271,0.000303178,0.0005174502,0.007844294,0.005105185,0.002779851,0.002291158,0.001877175,0.0003645892],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2345694,"about_ca_system_score_gemma":0.2113346,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967631,"about_ca_topic_score_gemma":0.9990847,"domain_scores_codex":[0.9956013,0.0006140035,0.0001153674,0.0002394558,0.001432326,0.001997537],"domain_scores_gemma":[0.9863218,0.003326858,0.001605004,0.000318744,0.004836105,0.003591507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000456092,0.0004123518,0.4715514,0.0002171355,0.0001465086,0.0006034474,0.03801785,0.004695855,0.0004841264,0.3959875,0.05845669,0.02897127],"study_design_scores_gemma":[0.0001311281,0.0001264767,0.716417,0.0002565873,0.0001599976,0.00006003099,0.1318026,0.006120447,0.0003775442,0.01526614,0.129165,0.0001169806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8179246,0.001058258,0.0003273745,0.02194058,0.00005560249,0.00008412412,0.001112833,0.00001156897,0.1574851],"genre_scores_gemma":[0.9851649,0.0003193422,0.0001450532,0.0007374613,0.00001718522,0.00002120512,0.0002183192,0.000006794933,0.01336986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7654306,"threshold_uncertainty_score":0.887791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08380763909882387,"score_gpt":0.3054941806108827,"score_spread":0.2216865415120588,"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."}}