{"id":"W2182940696","doi":"","title":"Tackling Student Literacy and Numeracy Underpreparedness in Ontario Colleges: Access, Quality and Funding.","year":2014,"lang":"en","type":"article","venue":"The College Quarterly","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Numeracy; Incentive; Investment (military); Literacy; Quality (philosophy); Psychological intervention; Financial literacy; Business; At-risk students; Public relations; Psychology; Economics; Pedagogy; Political science; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00289229,0.0001467767,0.0002733232,0.0001156903,0.001135111,0.0005675189,0.0004456775,0.00005926895,0.00011502],"category_scores_gemma":[0.0002096911,0.0001153768,0.00003012771,0.0004219546,0.0003942371,0.000591544,0.0001030797,0.0002430199,0.00001011013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003737957,"about_ca_system_score_gemma":0.0004466538,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1402279,"about_ca_topic_score_gemma":0.6090741,"domain_scores_codex":[0.9973421,0.001021977,0.0003485969,0.000342423,0.0005076541,0.0004373112],"domain_scores_gemma":[0.9978486,0.001475105,0.0001145781,0.0002695257,0.0001264811,0.0001656664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00005959195,0.0001741357,0.3764066,0.00003518104,0.00004684723,0.000003912167,0.5413402,0.00000300028,0.000008907887,0.07652476,0.00120075,0.004196076],"study_design_scores_gemma":[0.0007320414,0.0001459592,0.845256,0.00006699374,0.00001381927,0.000001175099,0.06990033,0.00005026268,0.000001407139,0.01256539,0.07103072,0.0002359043],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805325,0.0002703033,0.00003346085,0.009750574,0.000305637,0.0007662797,0.000007486876,0.0000387192,0.008294987],"genre_scores_gemma":[0.9943405,0.00005898708,0.00006921085,0.0002714921,0.0001228557,0.0001736531,0.00000155642,0.000009204422,0.004952497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4714399,"threshold_uncertainty_score":0.8730473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05369934475940322,"score_gpt":0.4362180062592482,"score_spread":0.382518661499845,"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."}}