{"id":"W2263921441","doi":"","title":"Using Computer Adaptive Tests to Support Research in Teacher Education.","year":2005,"lang":"en","type":"article","venue":"Society for Information Technology & Teacher Education International Conference","topic":"Educational Assessment and Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Mathematics education; Computer science; Pedagogy; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001688102,0.0001703789,0.0001640209,0.0009346989,0.0005163862,0.0002407221,0.0008090263,0.0003437372,0.0009117575],"category_scores_gemma":[0.0002061913,0.0001986806,0.0001229975,0.00104711,0.0003253596,0.001765109,0.0001174363,0.0005283493,0.0002594834],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001704716,"about_ca_system_score_gemma":0.007484539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009093728,"about_ca_topic_score_gemma":0.000694657,"domain_scores_codex":[0.9979385,0.00009729997,0.0005696792,0.0003023125,0.0006407463,0.0004514997],"domain_scores_gemma":[0.9969034,0.0001320109,0.0002277757,0.0002394307,0.002358314,0.0001391077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002124149,0.000796561,0.02653899,0.00001467407,0.00003552748,2.491932e-8,0.03144898,0.00008823904,0.00005584213,0.5551335,0.05362187,0.3322445],"study_design_scores_gemma":[0.0003763786,0.0001067197,0.007925863,0.0000909779,0.00001360793,0.000003844123,0.1084168,0.003401729,0.00006106171,0.02196221,0.8572901,0.0003506832],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4485937,0.0001663495,0.05534877,0.2330087,0.006223045,0.004776621,0.00008758876,0.0005712584,0.251224],"genre_scores_gemma":[0.8922675,0.000033794,0.09525191,0.001830114,0.00132726,0.0008660228,0.0002295986,0.00001389715,0.008179895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8036683,"threshold_uncertainty_score":0.9983104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1879873055367881,"score_gpt":0.5047661420563534,"score_spread":0.3167788365195653,"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."}}