{"id":"W3036391122","doi":"10.24908/pceea.vi0.14188","title":"STRATEGIES FOR ACADEMIC SUCCESS: AN EARLY INTERVENTION APPROACH FOR BUILDING METACOGNITIVE SKILLS IN FIRST-YEAR UNDERGRADUATE STUDENTS","year":2020,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Metacognition; Session (web analytics); Psychology; Mathematics education; Intervention (counseling); Medical education; Academic achievement; Computer science; Cognition; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00163906,0.001167052,0.001083422,0.001241282,0.001463748,0.00158259,0.001768422,0.001049167,0.005226681],"category_scores_gemma":[0.004924015,0.0004576866,0.0006300164,0.0004783428,0.0006051502,0.0007449875,0.002530044,0.001953978,0.000958442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009194258,"about_ca_system_score_gemma":0.004832649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001160774,"about_ca_topic_score_gemma":0.00459363,"domain_scores_codex":[0.9990237,0.0002991383,0.00006434476,0.0001599385,0.0002208785,0.0002319879],"domain_scores_gemma":[0.9963675,0.001024164,0.0003508072,0.0002512647,0.0002661168,0.001740144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001377093,0.128925,0.01403806,0.001670261,0.0001475076,0.0005281171,0.01672656,0.0005498296,0.0256993,0.002222076,0.007576806,0.8005394],"study_design_scores_gemma":[0.01151486,0.1145509,0.5521852,0.004145427,0.001989294,0.002770314,0.04811137,0.0100029,0.106266,0.01999809,0.1278496,0.0006161738],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658254,0.0003999487,0.01320693,0.002256735,0.0002703936,0.005612098,0.00009906611,0.0008397435,0.01148987],"genre_scores_gemma":[0.8767393,0.000941437,0.1013534,0.0006326177,0.00006382069,0.00718037,0.0001836071,0.00005789826,0.01284755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005226681,"threshold_uncertainty_score":0.01748496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02614629759442425,"score_gpt":0.3531059142006529,"score_spread":0.3269596166062286,"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."}}