{"id":"W1532210759","doi":"","title":"Found Money: Matching Canadians' Saving with Their Infrastructure Needs","year":2007,"lang":"en","type":"article","venue":"e-briefs","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Liberian dollar; Finance; Pension; Investment (military); Government (linguistics); Population","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":[0.001265036,0.0003707605,0.0002771074,0.002219664,0.005201054,0.003895676,0.0008080201,0.0006488619,0.0225791],"category_scores_gemma":[0.01116713,0.0001670456,0.0003128958,0.004829075,0.0008771209,0.001652605,0.001693565,0.001143654,0.002350734],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03744008,"about_ca_system_score_gemma":0.05486394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9869484,"about_ca_topic_score_gemma":0.9928223,"domain_scores_codex":[0.9988135,0.00007676067,0.00002564747,0.00008535241,0.0006115154,0.0003872823],"domain_scores_gemma":[0.994101,0.0001587419,0.0002057243,0.00009629055,0.00354812,0.001890204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001080751,0.00005422745,0.09577214,0.0001559795,0.00004341494,0.00008244989,0.002502322,0.0003728573,0.00009133388,0.01087084,0.7788948,0.1110515],"study_design_scores_gemma":[0.0000658029,0.00007570026,0.3668852,0.0006056613,0.0001282504,0.0001312141,0.01926844,0.001712355,0.0003502108,0.003857333,0.6067856,0.000134211],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2543223,0.0111749,0.001668978,0.2367499,0.002497806,0.0002443298,0.05177021,0.0005620345,0.4410095],"genre_scores_gemma":[0.8610221,0.009799739,0.003694641,0.01378667,0.0004460331,0.0001025085,0.02202664,0.0002356022,0.08888602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9625599,"threshold_uncertainty_score":0.271648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007859302354596512,"score_gpt":0.2426261937555047,"score_spread":0.2347668914009082,"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."}}