{"id":"W2616059813","doi":"","title":"SYMPOSIUM: The ITC Guidelines for Test Adaptation, version 2.0","year":2016,"lang":"en","type":"article","venue":"ITC 2016 Conference","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Test (biology); Adaptation (eye); Computer science; Psychology; Geology","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":[0.04580239,0.003621588,0.002791223,0.009924487,0.002118934,0.01149618,0.01258322,0.01290599,0.0389053],"category_scores_gemma":[0.1549951,0.003509374,0.003755301,0.006174177,0.00317254,0.005795167,0.006935744,0.009880452,0.07267366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003255171,"about_ca_system_score_gemma":0.0139101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01610379,"about_ca_topic_score_gemma":0.01097033,"domain_scores_codex":[0.9522389,0.01767509,0.009334642,0.001534773,0.01706818,0.002148505],"domain_scores_gemma":[0.8325523,0.03886328,0.006743879,0.02326479,0.09410749,0.004468195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006621085,0.0005563952,0.002074477,0.001751425,0.0001357914,0.0003316551,0.0008888919,0.008514868,0.006589413,0.01413011,0.7653895,0.1989754],"study_design_scores_gemma":[0.0003648763,0.0005009612,0.006403788,0.006128042,0.000242939,0.001476607,0.0004209233,0.01270175,0.01360964,0.02822512,0.9295216,0.0004036945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006623654,0.01095205,0.7052139,0.02348072,0.01233213,0.006324668,0.03213939,0.08410673,0.1188268],"genre_scores_gemma":[0.04043642,0.009119187,0.6723388,0.01721525,0.004610493,0.01117139,0.09793942,0.03688259,0.1102864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04580239,"threshold_uncertainty_score":0.242229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09135627759384762,"score_gpt":0.3022145433295347,"score_spread":0.2108582657356871,"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."}}