{"id":"W7006758590","doi":"","title":"What Makes Us Wise？A Implicit Theory of Wisdom Resources in CHINA and CANADA","year":2018,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"China; Government (linguistics); Field (mathematics); Perspective (graphical)","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":[0.001551011,0.0002213265,0.0005497948,0.001663603,0.009428501,0.009387427,0.001317853,0.001578057,0.0193204],"category_scores_gemma":[0.008558504,0.0001770771,0.0002584747,0.004482838,0.01030761,0.00368167,0.002067557,0.002249257,0.0006977285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05215318,"about_ca_system_score_gemma":0.0850764,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9533835,"about_ca_topic_score_gemma":0.9713963,"domain_scores_codex":[0.9980139,0.0002910193,0.00006052196,0.0002649965,0.0005931768,0.0007763885],"domain_scores_gemma":[0.9936684,0.001356174,0.0005064115,0.0004408144,0.002490937,0.001537255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008472282,0.00003317971,0.01827245,0.00007508632,0.00004185968,0.0001662194,0.01042588,0.00104413,0.00008731698,0.9266143,0.0261086,0.01704616],"study_design_scores_gemma":[0.0001330837,0.00004100262,0.07168279,0.0005634879,0.000158676,0.0001100742,0.06055454,0.00422041,0.000392476,0.6227618,0.239226,0.0001556393],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3266208,0.002152967,0.002050903,0.04675483,0.0001405493,0.00006122047,0.001187072,0.00005232162,0.6209793],"genre_scores_gemma":[0.9753274,0.0003463007,0.0002803835,0.0008105395,0.00002064814,0.00001496717,0.00008743602,0.00001489143,0.02309722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05215318,"threshold_uncertainty_score":0.3783996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007168087105908091,"score_gpt":0.2288397428422654,"score_spread":0.2216716557363574,"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."}}