{"id":"W1590594399","doi":"10.1002/0470857005.ch2","title":"Optimal On‐Line Calibration of Testlets","year":2005,"lang":"en","type":"other","venue":"","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Queen's University","funders":"","keywords":"Null (SQL); Line (geometry); Projection (relational algebra); Constraint (computer-aided design); Calibration; Matrix (chemical analysis); Mathematics; Space (punctuation); Algorithm; Combinatorics; Computer science; Applied mathematics; Geometry; Statistics; Data mining; Chemistry; Chromatography","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":[0.002462338,0.001208585,0.001320232,0.0008231371,0.0005134651,0.002019436,0.001467212,0.001716307,0.008617995],"category_scores_gemma":[0.01110177,0.0009477866,0.0008580969,0.001174469,0.0009748399,0.002354691,0.002235753,0.001568364,0.003109944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001371785,"about_ca_system_score_gemma":0.001138306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008165268,"about_ca_topic_score_gemma":0.0008452788,"domain_scores_codex":[0.99694,0.001351014,0.00007241999,0.0006208646,0.0008237483,0.000192038],"domain_scores_gemma":[0.9965395,0.001493445,0.0003949302,0.000942664,0.000550709,0.00007885816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007569455,0.0001395989,0.001624567,0.0002958051,0.0001174034,0.00009504778,0.0001590613,0.5692476,0.04033733,0.06327684,0.004105038,0.3198448],"study_design_scores_gemma":[0.0000676331,0.000153505,0.001182512,0.00007552491,0.00003221557,0.0001523976,0.00004369404,0.9222038,0.03386709,0.03662731,0.00554244,0.00005173903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008097995,0.00008911002,0.9864005,0.00008574556,0.00003202,0.00003532265,0.00005959097,0.0004360208,0.004763711],"genre_scores_gemma":[0.3409418,0.0002080563,0.6502345,0.0002261237,0.00006329006,0.0001735255,0.0005204278,0.0005546183,0.007077707],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008617995,"threshold_uncertainty_score":0.02883005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138241744717318,"score_gpt":0.2582386502189108,"score_spread":0.2368562327717376,"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."}}