{"id":"W2911686251","doi":"10.5430/wje.v9n1p79","title":"The Interface Function of Thinking Styles between Personality and Intelligence","year":2019,"lang":"en","type":"article","venue":"World Journal of Education","topic":"Learning Styles and Cognitive Differences","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Personality; Big Five personality traits; Cognitive style; Structural equation modeling; Social psychology; Function (biology); Big Five personality traits and culture; Cognition; 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":[0.0005469087,0.00005160411,0.0001042759,0.00007081531,0.00006712133,0.00003143923,0.0001103744,0.00001998632,0.0002940316],"category_scores_gemma":[0.00005547975,0.00003228929,0.00004013846,0.0001011214,0.00005614978,0.0000749408,0.00001439287,0.0001860615,0.00001415031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001639583,"about_ca_system_score_gemma":0.00005462869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004165545,"about_ca_topic_score_gemma":0.00001966705,"domain_scores_codex":[0.999378,0.0001341838,0.0002294055,0.00006974953,0.0001191959,0.00006952363],"domain_scores_gemma":[0.9989322,0.0003939877,0.0003796465,0.00007004093,0.0002000533,0.0000241091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001024742,0.00006301289,0.5795957,0.00001613787,0.0001001399,5.928316e-8,0.007236675,0.000002500024,0.0001523635,0.01960684,0.0004799621,0.3926441],"study_design_scores_gemma":[0.00007003066,0.0001772267,0.9638677,0.0001342685,0.00004140115,0.000004500997,0.02409594,0.000001648758,0.0001761925,0.00639143,0.004998401,0.00004126107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867772,0.002420328,0.0009683807,0.0007614768,0.0008638705,0.00005338823,6.403793e-7,0.000002141886,0.008152513],"genre_scores_gemma":[0.9960954,0.0000505825,0.00005694629,0.00004551385,0.0001899025,9.567826e-7,6.78461e-7,0.000003537409,0.003556455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3926028,"threshold_uncertainty_score":0.321944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02605371097652606,"score_gpt":0.3546225946849578,"score_spread":0.3285688837084317,"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."}}