{"id":"W2339070665","doi":"10.14288/1.0102286","title":"Development of a measure for open-ended questions","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Computer science; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001950718,0.00002007976,0.0001143329,0.00003229498,0.0001838385,0.00002566511,0.001018721,0.00005575673,0.00002025667],"category_scores_gemma":[0.00001518542,0.00007005239,0.0000364184,0.0001780159,0.00009170894,0.0003183135,0.0002789861,0.0000464457,0.000003234549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003363696,"about_ca_system_score_gemma":0.0003575246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004946663,"about_ca_topic_score_gemma":0.05722345,"domain_scores_codex":[0.9994954,0.00001549893,0.00008970504,0.0001996203,0.00009870705,0.0001010821],"domain_scores_gemma":[0.9994089,0.0000190242,0.00009983994,0.00021926,0.0002142994,0.00003867794],"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":[0.000006001691,0.0006919637,0.005575058,0.0000521148,0.00008119566,0.000008212425,0.001960974,4.843029e-7,0.0005983083,0.006695493,0.003067179,0.981263],"study_design_scores_gemma":[0.0004144773,0.00004553216,0.9889992,0.00008191193,0.000008798481,0.000009476208,0.0007586663,0.00006309605,0.00005142407,0.00872875,0.0007493146,0.00008929916],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6641333,0.00005546092,0.3310319,0.0002084604,0.0001403071,0.000363495,0.00002489825,0.00006766762,0.003974566],"genre_scores_gemma":[0.7074934,0.000002727384,0.2922423,0.000009175977,0.000001993994,0.000001987333,0.000002406604,0.000001628334,0.0002442818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9834242,"threshold_uncertainty_score":0.9599798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03794741249357929,"score_gpt":0.23091537226081,"score_spread":0.1929679597672307,"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."}}