{"id":"W2350214875","doi":"","title":"The Coherence of Chen Heqin's Educational Thoughts with Gardner's Multiple Intelligence Theory","year":2006,"lang":"en","type":"article","venue":"Early childhood education","topic":"Emotional Intelligence and Performance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chen; Psychology; Theory of multiple intelligences; Coherence (philosophical gambling strategy); Social intelligence; Human intelligence; Social psychology; Epistemology; Sociology; Mathematics education; Developmental psychology; Mathematics; Philosophy; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000352424,0.0001580465,0.0001200744,0.00007308293,0.0002596772,0.00004746612,0.0003735111,0.00007664882,0.0005571651],"category_scores_gemma":[0.00006015206,0.0001082478,0.00005654939,0.0003015574,0.0002435761,0.0001843595,0.0000184359,0.0002031672,0.0004118319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003830359,"about_ca_system_score_gemma":0.0005257924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007267676,"about_ca_topic_score_gemma":0.0001772165,"domain_scores_codex":[0.9987563,0.0001192072,0.0003373659,0.0002777044,0.0002561461,0.0002532951],"domain_scores_gemma":[0.9985232,0.0005078381,0.0002308643,0.0004354887,0.0002494146,0.00005314642],"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":[0.0001963779,0.002908129,0.2767669,0.00002019097,0.0001738349,6.335058e-7,0.03635212,0.0003789114,0.0002743981,0.5390646,0.01700022,0.1268637],"study_design_scores_gemma":[0.00007594718,0.0001239801,0.9398259,0.0000614973,0.0000172876,0.00001757995,0.001645264,0.000003871687,0.003238129,0.05202994,0.002808633,0.0001519578],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560441,0.00172914,0.001923918,0.001154608,0.001514131,0.0004348368,0.00001104032,0.00003427302,0.03715392],"genre_scores_gemma":[0.9846653,0.00002956867,0.000586511,0.0001321129,0.001064496,0.0001366432,0.00005871446,0.00001906249,0.01330754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.663059,"threshold_uncertainty_score":0.6100567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071574996706851,"score_gpt":0.275812220497943,"score_spread":0.2650964705308745,"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."}}