{"id":"W3020867249","doi":"10.5539/gjhs.v12n5p91","title":"Teachers’ Demographic Variables as Predictors of Critical Thinking Skills of School Children: Implications for School Counselling","year":2020,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Education and Critical Thinking Development","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Critical thinking; Psychology; Population; Local government area; Test (biology); Null hypothesis; Mathematics education; Medical education; Local government; Medicine; Demography; Sociology; Geography","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":[0.004929916,0.00009351933,0.0003039188,0.0001113153,0.0009478223,0.00008508973,0.0008801196,0.00006560519,0.00004599676],"category_scores_gemma":[0.005428555,0.00008497208,0.0001090037,0.00141297,0.001193486,0.0003243472,0.00002890779,0.0002184512,0.000002646948],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002301678,"about_ca_system_score_gemma":0.007644101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001252453,"about_ca_topic_score_gemma":0.000007551889,"domain_scores_codex":[0.9972597,0.0001290214,0.0009199273,0.0002117974,0.001026594,0.0004529823],"domain_scores_gemma":[0.9969521,0.0002710067,0.0005094133,0.0001175747,0.001240717,0.0009091837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002154136,0.0003832862,0.6846061,0.0001231693,0.00003641019,3.494075e-7,0.01472033,0.00005193115,0.0002080903,0.2955294,0.001315851,0.00300353],"study_design_scores_gemma":[0.0007549447,0.0007347336,0.6522788,0.0008644503,0.00008155601,0.00004856263,0.01166405,0.00003675014,0.0002554989,0.3305888,0.00239316,0.0002986147],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8360428,0.001991188,0.05166261,0.1068665,0.001239065,0.0007257307,0.00004072149,0.00004569898,0.00138565],"genre_scores_gemma":[0.9693831,0.000371377,0.02723325,0.002792301,0.0002077745,0.000003417639,7.676756e-7,0.000003954368,0.000004018789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1333403,"threshold_uncertainty_score":0.9979816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03103753663831872,"score_gpt":0.3846992026104099,"score_spread":0.3536616659720911,"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."}}