{"id":"W2972893479","doi":"10.1128/jmbe.v20i2.1787","title":"Tools for Change: Measuring Student Conceptual Understanding Across Undergraduate Biology Programs Using Bio-MAPS Assessments","year":2019,"lang":"en","type":"article","venue":"Journal of Microbiology and Biology Education","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Curriculum; Scale (ratio); Data science; Computer science; Biology; Mathematics education; Psychology; Physics; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.009675766,0.0009231986,0.0006058,0.003935215,0.001102628,0.002760022,0.001779391,0.0007939636,0.003623603],"category_scores_gemma":[0.04467947,0.0004991041,0.001216983,0.002086065,0.0006684443,0.003426626,0.003400091,0.001853951,0.0008475984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511034,"about_ca_system_score_gemma":0.002887822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001557767,"about_ca_topic_score_gemma":0.002938642,"domain_scores_codex":[0.9907109,0.003163117,0.00131425,0.000974975,0.003347872,0.0004889476],"domain_scores_gemma":[0.9625098,0.01725691,0.007593832,0.003051901,0.006859774,0.002727766],"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":[0.0005743478,0.005170134,0.4271562,0.0005478323,0.0002909894,0.00007906736,0.008609924,0.003571859,0.003831016,0.003033667,0.01058107,0.536554],"study_design_scores_gemma":[0.0002064388,0.002683727,0.9359663,0.0002221505,0.0001638829,0.0001071714,0.003748082,0.01455209,0.01507191,0.008265853,0.0187877,0.0002247571],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9380941,0.0001995715,0.03663825,0.0008309177,0.0001980196,0.00327813,0.002708309,0.001442859,0.01660982],"genre_scores_gemma":[0.9145057,0.0001941792,0.07336639,0.0001728064,0.00004654212,0.006239072,0.00166668,0.0001499728,0.003658628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009675766,"threshold_uncertainty_score":0.051171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4250225393623157,"score_gpt":0.5274709426253851,"score_spread":0.1024484032630694,"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."}}