{"id":"W6889025639","doi":"10.25318/3710018101-fra","title":"Incidence et remboursement des prêts étudiants consentis par le gouvernement chez les diplômés qui n'ont pas poursuivi d'autres études postsecondaires","year":2020,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incidence (geometry); Public health; Context (archaeology); MEDLINE","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":[0.001164129,0.0005633273,0.0009463505,0.003987696,0.001011636,0.001322998,0.001802032,0.0008589412,0.01697336],"category_scores_gemma":[0.01030178,0.0004728673,0.001102016,0.008037966,0.0004067877,0.0007108834,0.001027265,0.001834745,0.004656022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005985869,"about_ca_system_score_gemma":0.01247713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8235118,"about_ca_topic_score_gemma":0.8549734,"domain_scores_codex":[0.9982405,0.0001722599,0.0002194354,0.0003507551,0.0005176222,0.0004994344],"domain_scores_gemma":[0.9939738,0.0009435515,0.001015047,0.0003939488,0.002965266,0.0007084551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003550652,0.00004541658,0.1360475,0.000873011,0.0001704319,0.0001015353,0.0003417365,0.0006943205,0.0001176561,0.001660284,0.8465844,0.01300858],"study_design_scores_gemma":[0.0003630715,0.00006746045,0.7126067,0.001037983,0.0002217542,0.0004194929,0.001696645,0.0009517981,0.0004593899,0.0007840657,0.2813066,0.0000851526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0113776,0.000652185,0.0001813454,0.0004081847,0.00007079117,0.00004475042,0.9839468,0.0000972257,0.003221093],"genre_scores_gemma":[0.04799993,0.00154983,0.0005758135,0.0003182681,0.00006960539,0.0003168157,0.9347014,0.00009357573,0.01437463],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1764882,"threshold_uncertainty_score":0.355055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810731237675768,"score_gpt":0.283852282306171,"score_spread":0.2657449699294133,"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."}}