{"id":"W7099331221","doi":"","title":"Web Site: www.cprn.org Too Many Left Behind: Canada’s Adult Education and Training System","year":2006,"lang":"en","type":"article","venue":"","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Adult education; Training system; The Internet; Information system; Vocational education","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":[0.0006580298,0.0003771003,0.0003210097,0.002896515,0.002966169,0.00219183,0.001096703,0.0009310902,0.2027004],"category_scores_gemma":[0.003110878,0.0003172676,0.0002509577,0.004624998,0.0005246029,0.001277041,0.001097264,0.0006847359,0.06895108],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01488876,"about_ca_system_score_gemma":0.04250608,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9714714,"about_ca_topic_score_gemma":0.9793387,"domain_scores_codex":[0.9995005,0.00002303086,0.00002223506,0.00004836173,0.0002618497,0.0001438788],"domain_scores_gemma":[0.9956463,0.0003330177,0.0001021935,0.0001637435,0.002536254,0.001218402],"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":[0.00002620651,0.0000271976,0.002814271,0.00004397512,0.000002547376,0.00002405851,0.00009349214,0.00007720259,0.00008143766,0.0009461946,0.9596317,0.03623173],"study_design_scores_gemma":[0.00003684369,0.0000100392,0.02061293,0.0001015529,0.00001029186,0.00005043443,0.0006001795,0.00119101,0.0004907208,0.0007326104,0.9761263,0.00003707735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01075597,0.0006732497,0.003325742,0.01228889,0.0002870016,0.0004189168,0.4972495,0.01302172,0.4619789],"genre_scores_gemma":[0.06937235,0.001431502,0.01369934,0.004514134,0.0001386602,0.0002892667,0.3183355,0.002490196,0.5897291],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9851112,"threshold_uncertainty_score":0.6781003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007423510758656562,"score_gpt":0.2265063673588139,"score_spread":0.2190828566001574,"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."}}