{"id":"W3001335578","doi":"10.24908/pceea.vi0.13797","title":"GRADE PREDICTORS IN A SECONDARY SUMMER COURSE OFFERING: AN INVESTIGATION OF PRIOR FAILURES AND EMPLOYMENT","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"University of Ottawa","keywords":"Attendance; Workload; Medical education; Mathematics education; Psychology; Work (physics); Term (time); Academic institution; Computer science; Engineering; Medicine; Library science; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002502981,0.0002552159,0.0003518548,0.001838084,0.001196392,0.001782492,0.001103487,0.0007262145,0.004392197],"category_scores_gemma":[0.01250101,0.0002850808,0.0004439464,0.001452923,0.0007050699,0.0007627338,0.001543738,0.00183771,0.001013449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084297,"about_ca_system_score_gemma":0.001062456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02513306,"about_ca_topic_score_gemma":0.04101903,"domain_scores_codex":[0.9984352,0.0003101462,0.0001545358,0.0001580482,0.0005708898,0.0003713002],"domain_scores_gemma":[0.9789858,0.003921337,0.007473308,0.0006318923,0.002778298,0.006209449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006989087,0.0004114637,0.995364,0.000006755292,0.00001064654,0.0000597443,0.0007657567,0.00003769848,0.00009118766,0.00002291224,0.0001753307,0.002984587],"study_design_scores_gemma":[0.000001102497,0.0002220139,0.9978784,0.000007397029,0.000004057394,0.00003104631,0.001428519,0.0001362743,0.00005486355,0.000009912364,0.0002218641,0.000004493611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991707,0.00003772555,0.00003104015,0.00006144086,0.000007048863,0.00001084518,0.0001048391,0.000003267401,0.0005732109],"genre_scores_gemma":[0.9991405,0.00002890307,0.00003051812,0.00001798915,0.000006877348,0.000008378369,0.0001706074,0.000002598861,0.0005935468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02513306,"threshold_uncertainty_score":0.04997355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006190591841663706,"score_gpt":0.2170411534852703,"score_spread":0.2108505616436066,"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."}}