{"id":"W3001975966","doi":"10.24908/pceea.vi0.13770","title":"WHAT RESEARCH AND EVALUATION METHODS HAVE BEEN USED TO STUDY COGNITIVE AND NON-COGNITIVE FACTORS IN STUDENT TRANSITION BETWEEN HIGH SCHOOL AND FIRST YEAR POST-SECONDARY EDUCATION?","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Teacher Professional Development and Motivation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Cognition; Psychology; Affect (linguistics); Statistical analysis; Mathematics education; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003650447,0.0001107084,0.0001597352,0.0005547406,0.00035463,0.0002536005,0.0001046366,0.0001333257,0.0000380309],"category_scores_gemma":[0.001846328,0.0001132597,0.00001547556,0.0004754299,0.00003092635,0.0007701848,0.0000367261,0.0002877022,0.000002444417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424242,"about_ca_system_score_gemma":0.001588832,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01967271,"about_ca_topic_score_gemma":0.03246213,"domain_scores_codex":[0.9985734,0.0001189214,0.0002282869,0.0002724037,0.0005798385,0.0002271098],"domain_scores_gemma":[0.997794,0.0004217896,0.0001411496,0.0000372174,0.001380942,0.0002249002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004387164,0.00006691345,0.8831626,0.00003237048,0.0000351745,6.83826e-9,0.1124386,0.000001135197,0.0001132566,0.0001551253,0.00006452147,0.003925984],"study_design_scores_gemma":[0.0003400124,0.00004384319,0.8245169,0.0002649606,0.0000301319,4.680038e-8,0.1741374,0.000008271681,0.0001890587,0.0002734496,0.0000950057,0.0001009315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923002,0.00005871676,0.000003476072,0.004568576,0.0004518076,0.002262016,0.00001152269,0.00001063306,0.0003330727],"genre_scores_gemma":[0.9987646,0.00002020628,0.0002563743,0.00007317516,0.00009157327,0.0001789464,0.00002986301,0.00001473951,0.0005705513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06169885,"threshold_uncertainty_score":0.9868554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04566807341756134,"score_gpt":0.3990855804371837,"score_spread":0.3534175070196224,"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."}}