{"id":"W3108072447","doi":"10.21125/iceri.2020.0776","title":"ENSURING EQUITABLE ACCESS TO WORK-INTEGRATED LEARNING IN ONTARIO, CANADA","year":2020,"lang":"en","type":"article","venue":"ICERI proceedings","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Work (physics); Engineering","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":[0.003140284,0.0002661633,0.0003436502,0.001183044,0.01321688,0.004718309,0.002031751,0.0007096193,0.006371031],"category_scores_gemma":[0.006420621,0.0004051829,0.0003306179,0.002886633,0.002860877,0.001208798,0.004245488,0.0009046558,0.0004694714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1242474,"about_ca_system_score_gemma":0.4028693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957228,"about_ca_topic_score_gemma":0.9987499,"domain_scores_codex":[0.9947187,0.0004504379,0.00014575,0.000297099,0.00174281,0.002645286],"domain_scores_gemma":[0.9807179,0.001025048,0.001262293,0.0004366577,0.006552375,0.01000575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005541121,0.0004711666,0.4911388,0.00152848,0.00009542106,0.002440615,0.1004621,0.002357716,0.006672846,0.02896355,0.07020096,0.2951142],"study_design_scores_gemma":[0.00007725292,0.0002304879,0.6090009,0.0007010649,0.00004686931,0.0002140571,0.1024228,0.001419405,0.0008522578,0.00213588,0.2827792,0.0001199542],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8453289,0.003129382,0.003301009,0.02214817,0.0002289615,0.0009892796,0.002171713,0.000200313,0.1225023],"genre_scores_gemma":[0.9691473,0.001281783,0.002759578,0.001559269,0.0000257461,0.0001839223,0.0004303886,0.00004234706,0.02456962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1242474,"threshold_uncertainty_score":0.901482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06171745517508932,"score_gpt":0.3159413169673121,"score_spread":0.2542238617922228,"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."}}