{"id":"W6907692090","doi":"10.25318/9810039701-eng","title":"College, CEGEP or other non-university certificate or diploma by selected sociocultural characteristics: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts","year":2022,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; Certificate; Urban agglomeration; Population; Distribution (mathematics); School Certificate","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":[0.0008861038,0.001515571,0.001427329,0.005291537,0.001573191,0.002674684,0.003444848,0.001113395,0.06043788],"category_scores_gemma":[0.006639572,0.0009242381,0.001225779,0.01561823,0.0004883229,0.001210435,0.001414102,0.002087017,0.02066463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01571644,"about_ca_system_score_gemma":0.03204757,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9702269,"about_ca_topic_score_gemma":0.9804052,"domain_scores_codex":[0.9987894,0.0000589547,0.0001100819,0.0002138339,0.0004181613,0.0004095471],"domain_scores_gemma":[0.9944794,0.0004282371,0.0004723213,0.0002696673,0.0037448,0.0006055964],"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":[0.00002917554,0.00001113967,0.002815821,0.0002907625,0.00002360739,0.00001100462,0.00002905207,0.0001921194,0.00001382655,0.0005082996,0.9949003,0.001174828],"study_design_scores_gemma":[0.00042444,0.00002109751,0.09488938,0.001125557,0.0000968774,0.00007555497,0.0006427133,0.0008453726,0.0002520056,0.0006802364,0.9008817,0.00006496496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001586284,0.00004201374,0.00001681403,0.00005769188,0.00001200124,0.0000105494,0.9989305,0.00002989498,0.0007418983],"genre_scores_gemma":[0.002127314,0.0001740748,0.0001975471,0.00008100475,0.00001092261,0.00009479495,0.9933273,0.00004169779,0.003945408],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06043788,"threshold_uncertainty_score":0.2021849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144541324190479,"score_gpt":0.237494940481006,"score_spread":0.2260495272391012,"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."}}