{"id":"W2111606913","doi":"10.24908/pceea.v0i0.3579","title":"Effectiveness of Various Components of Student Evaluation","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Education and Critical Thinking Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Environmental science; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01658112,0.0009446159,0.001612941,0.002002473,0.0007811282,0.001976313,0.00138217,0.00136054,0.0114804],"category_scores_gemma":[0.08590806,0.0003978268,0.00157804,0.0007974302,0.0004890348,0.001839651,0.002129298,0.0008957018,0.00293617],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001333855,"about_ca_system_score_gemma":0.002902731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002044799,"about_ca_topic_score_gemma":0.002375511,"domain_scores_codex":[0.9794759,0.01018722,0.001898441,0.001529346,0.006172023,0.0007370088],"domain_scores_gemma":[0.8997812,0.06687716,0.005342743,0.006425192,0.01409913,0.007474619],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.07454835,0.01064876,0.08288901,0.0009415408,0.0006625862,0.00004288658,0.00100743,0.002415886,0.00281854,0.0005698952,0.006795486,0.8166597],"study_design_scores_gemma":[0.01078009,0.1003948,0.7740595,0.001612591,0.003199402,0.0004275642,0.002489537,0.03909315,0.04367712,0.002249211,0.02146756,0.0005495342],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700262,0.001241185,0.004545514,0.00052087,0.000318723,0.001555077,0.0007186889,0.001147612,0.01992621],"genre_scores_gemma":[0.9860808,0.0003017366,0.004343385,0.0001666368,0.00008998819,0.0007993265,0.0007131546,0.0001270723,0.007377906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9986662,"threshold_uncertainty_score":0.08769035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02790939178613267,"score_gpt":0.2913634267871035,"score_spread":0.2634540350009708,"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."}}