{"id":"W2355703607","doi":"","title":"Measures and Their Inspirations of Accelerating Lifelong Learning in Canada","year":2005,"lang":"en","type":"article","venue":"Kaifang jiaoyu yanjiu","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lifelong learning; Government (linguistics); Learning society; Investment (military); Experiential learning; Adult Learning; Adult education; Business; Political science; Pedagogy; Knowledge management; Sociology; Computer science","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":[0.004141293,0.0004651321,0.000368577,0.002523214,0.01064361,0.00691849,0.001524439,0.002714594,0.0033887],"category_scores_gemma":[0.01510592,0.0003029197,0.0004105144,0.003395731,0.006546732,0.002108787,0.002731364,0.003446836,0.0001212467],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1933842,"about_ca_system_score_gemma":0.2716524,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9897493,"about_ca_topic_score_gemma":0.9923918,"domain_scores_codex":[0.9901272,0.001080313,0.000317669,0.0003842196,0.005154382,0.002936324],"domain_scores_gemma":[0.9902159,0.001399651,0.0006741755,0.0002790557,0.005249826,0.002181473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008093935,0.0001197248,0.01103824,0.0003307369,0.00004208451,0.0002322028,0.003741982,0.002372574,0.0007460733,0.888301,0.02833821,0.06465624],"study_design_scores_gemma":[0.0001384786,0.0001851082,0.1264576,0.001012731,0.0001339403,0.000107251,0.01207062,0.003992925,0.002863946,0.06554561,0.7871875,0.0003044578],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1904289,0.02427388,0.00494354,0.3374932,0.00114332,0.0004998327,0.001107877,0.0003051232,0.4398044],"genre_scores_gemma":[0.9404604,0.00871236,0.00624996,0.01456673,0.0001535863,0.0001136692,0.0001511324,0.00005461133,0.02953748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8066158,"threshold_uncertainty_score":0.93556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05569175579724173,"score_gpt":0.3124157368768466,"score_spread":0.2567239810796049,"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."}}