{"id":"W7006699510","doi":"","title":"What Makes Us Wiseï¼A 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":[0.001521521,0.0002391541,0.0007956655,0.0017617,0.007258189,0.009820586,0.001622931,0.001620829,0.01922772],"category_scores_gemma":[0.008509194,0.0002002094,0.0003398957,0.004528109,0.008204674,0.003993026,0.001887992,0.002102627,0.0006393291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05316705,"about_ca_system_score_gemma":0.076216,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9491004,"about_ca_topic_score_gemma":0.9616135,"domain_scores_codex":[0.9982436,0.0002256254,0.00006366508,0.0002557914,0.0005757976,0.0006355747],"domain_scores_gemma":[0.9932228,0.001294086,0.0005221827,0.0005776485,0.003115791,0.001267504],"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":[0.0001053447,0.00003827198,0.01931466,0.00008639888,0.00005935407,0.0001708124,0.006235012,0.001546114,0.0001081281,0.9401687,0.01702862,0.01513864],"study_design_scores_gemma":[0.0001401417,0.00004430854,0.08314573,0.0005309462,0.0002070173,0.0001020992,0.03611416,0.007114104,0.0005150688,0.7023087,0.1696022,0.0001754696],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4531395,0.002866281,0.002504885,0.03978064,0.0001525765,0.00005330052,0.00186647,0.00007409748,0.4995622],"genre_scores_gemma":[0.9782807,0.0003989042,0.0002690609,0.0005089456,0.00002295889,0.00001055365,0.0001421953,0.00001385019,0.02035287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05316705,"threshold_uncertainty_score":0.3857557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007043754555395351,"score_gpt":0.2283881215692743,"score_spread":0.221344367013879,"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."}}