{"id":"W1510641421","doi":"","title":"Developing a Taxonomy of Item Model Types to Promote Assessment Engineering","year":2008,"lang":"en","type":"article","venue":"Open Access Journals at BC (Boston College)","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Taxonomy (biology); Context (archaeology); Software; Representation (politics); Artificial intelligence; Information retrieval; Machine learning; Programming language","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":[0.04983139,0.003186392,0.002243384,0.01762157,0.003202196,0.01089678,0.006045255,0.003474256,0.006892725],"category_scores_gemma":[0.1389614,0.004076306,0.00526092,0.01285783,0.002213641,0.01495415,0.005847421,0.007805253,0.005024612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005098788,"about_ca_system_score_gemma":0.007466836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003913559,"about_ca_topic_score_gemma":0.008196856,"domain_scores_codex":[0.95034,0.02328667,0.01048846,0.003030695,0.01183616,0.001017998],"domain_scores_gemma":[0.8722665,0.06373873,0.004963753,0.0180212,0.0394429,0.001566933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002951112,0.000713683,0.02237181,0.00260236,0.0003946398,0.0008584557,0.01004759,0.01829055,0.005612524,0.3044727,0.04525082,0.5890897],"study_design_scores_gemma":[0.0002328533,0.0005343634,0.00898371,0.004718199,0.0003820319,0.002881081,0.005623732,0.2519426,0.01120106,0.4158531,0.2970289,0.0006184099],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004162694,0.0001973832,0.982397,0.0008319312,0.0000978438,0.003048264,0.001461706,0.002725113,0.005078122],"genre_scores_gemma":[0.007246123,0.0001055567,0.9884796,0.00007428957,0.00001316859,0.0021274,0.001039031,0.0002908723,0.0006239528],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04983139,"threshold_uncertainty_score":0.2635368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1699692096352127,"score_gpt":0.4206065951274083,"score_spread":0.2506373854921956,"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."}}