{"id":"W4415251766","doi":"10.1080/29932955.2025.2558152","title":"Understanding Dimensions of Student Readiness from a Calculus Baseline Assessment Through Semi-Automatic Text Analysis and Clustering","year":2025,"lang":"en","type":"article","venue":"Scatterplot","topic":"Educational Assessment and Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McMaster University","funders":"Mitacs","keywords":"Cluster analysis; Baseline (sea); Calculus (dental); Work (physics); Feature (linguistics); Field (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0005585346,0.0001094551,0.0002849117,0.0001955172,0.0003496627,0.00007540606,0.0001668036,0.00005436955,0.0002752605],"category_scores_gemma":[0.00003116057,0.00009302793,0.00007792777,0.0008397172,0.0001568046,0.0001521531,0.0001079142,0.00008556149,0.000002923975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002701045,"about_ca_system_score_gemma":0.0002698251,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008804884,"about_ca_topic_score_gemma":0.01553434,"domain_scores_codex":[0.9986548,0.0002430773,0.0003109091,0.0002555141,0.0003414494,0.0001942775],"domain_scores_gemma":[0.9988649,0.0006928446,0.0001197425,0.0001907495,0.00007219449,0.000059551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008469899,0.0003249704,0.9470556,0.00005983374,0.001199375,0.000002525354,0.02158975,0.000305492,0.0009523617,0.0259469,0.001368752,0.001185987],"study_design_scores_gemma":[0.0007751435,0.00004890652,0.871173,0.0003776169,0.002077499,3.543558e-7,0.09072958,0.01720873,0.000148772,0.01459552,0.002438308,0.0004266318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7937146,0.0001945176,0.1883419,0.009454248,0.0004491311,0.0002854801,0.0000331099,0.00006447257,0.007462511],"genre_scores_gemma":[0.996252,0.0001112701,0.002443664,0.0003817049,0.00007283808,0.00002166928,0.00003660633,0.000006366158,0.0006738825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2025374,"threshold_uncertainty_score":0.9977956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1048071382398115,"score_gpt":0.4413770198341832,"score_spread":0.3365698815943717,"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."}}