{"id":"W2803068533","doi":"10.5430/wje.v8n2p114","title":"Investigation of the Predictive Power of Academic Achievement, Learning Approaches and Self-Regulatory Learning Skills on University Entrance Exam Scores Using Path Analysis","year":2018,"lang":"en","type":"article","venue":"World Journal of Education","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Path analysis (statistics); Mathematics education; Psychology; Academic achievement; Mastery learning; Predictive power; Test (biology); Class (philosophy); Scale (ratio); Study skills; Computer science; Artificial intelligence; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00663129,0.001072545,0.0005531731,0.002037193,0.0005055954,0.001356976,0.0009356884,0.0007505846,0.008438881],"category_scores_gemma":[0.01799373,0.0004652831,0.002022266,0.001665803,0.0004778648,0.0009806644,0.001368298,0.001857582,0.0006416588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000595891,"about_ca_system_score_gemma":0.002853807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00983596,"about_ca_topic_score_gemma":0.006881326,"domain_scores_codex":[0.9971741,0.00167879,0.0001316031,0.0003687752,0.0003318253,0.0003148717],"domain_scores_gemma":[0.9756749,0.02013294,0.001280427,0.0007577103,0.001300932,0.0008530711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001471735,0.0002983148,0.9841977,0.00004670052,0.0002946195,0.0001358124,0.0005647016,0.001796945,0.0001777106,0.0006995407,0.0003479203,0.01129302],"study_design_scores_gemma":[0.0000556839,0.00117686,0.9357283,0.0001615874,0.0006141869,0.0002158023,0.002215069,0.05535047,0.0006852246,0.001666035,0.002086318,0.000044556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957675,0.0001357978,0.002178025,0.0001820187,0.00002609328,0.0001009562,0.0004996526,0.00004137861,0.001068701],"genre_scores_gemma":[0.9963093,0.000137612,0.001945964,0.00001808437,0.000008218986,0.0001551043,0.0006173285,0.00001019157,0.0007981648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00983596,"threshold_uncertainty_score":0.03507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0403365325507878,"score_gpt":0.320619689163045,"score_spread":0.2802831566122572,"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."}}