{"id":"W2659708596","doi":"","title":"Increasing Student Enrolment in Core French Programs in Ontario","year":2017,"lang":"en","type":"article","venue":"TSpace (University of Toronto)","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Core (optical fiber); Mathematics education; Computer science; Mathematics","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":[0.0009591038,0.0001685357,0.0002248584,0.0007243576,0.003977862,0.002081121,0.001160903,0.0004792693,0.005812281],"category_scores_gemma":[0.003080585,0.0002619929,0.0003118172,0.001357638,0.001157219,0.0007066631,0.002193223,0.0007684163,0.0005502166],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04019091,"about_ca_system_score_gemma":0.06402564,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9489033,"about_ca_topic_score_gemma":0.9835654,"domain_scores_codex":[0.9982246,0.0001404729,0.00003614498,0.0001342108,0.0004583777,0.001006192],"domain_scores_gemma":[0.9951847,0.0002533636,0.000381752,0.00009823435,0.0011537,0.002928168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00030984,0.0004950259,0.7460516,0.0002273842,0.00002638312,0.000902802,0.1217579,0.0003764255,0.004003311,0.003267786,0.01427853,0.108303],"study_design_scores_gemma":[0.00001479626,0.0002108523,0.8956951,0.00009078369,0.000008959901,0.00008043074,0.07033097,0.0003516115,0.0005833289,0.0001548828,0.0324531,0.00002496761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896875,0.00006935154,0.00009664635,0.001265939,0.0000132388,0.00006463176,0.0003709443,0.00002746248,0.008404359],"genre_scores_gemma":[0.9866716,0.0001910922,0.0001979001,0.0002082929,0.000005803791,0.00005730634,0.0002620049,0.00001266483,0.01239343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9598091,"threshold_uncertainty_score":0.2916068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08399884692467348,"score_gpt":0.3519521059548255,"score_spread":0.267953259030152,"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."}}