{"id":"W1995530352","doi":"10.2466/pr0.2000.87.3.791","title":"Expertise Sensitive Item Selection","year":2000,"lang":"en","type":"article","venue":"Psychological Reports","topic":"Reliability and Agreement in Measurement","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Christian Studies; University of Toronto; Nipissing University","funders":"","keywords":"Certification; Index (typography); Test (biology); Selection (genetic algorithm); Psychology; Computer science; Applied psychology; Statistics; Artificial intelligence; Mathematics; World Wide Web; Management","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":[0.03855979,0.00147854,0.00141348,0.005860897,0.001229158,0.001607803,0.001875818,0.001229644,0.01485155],"category_scores_gemma":[0.1340852,0.0006584445,0.001424604,0.003973017,0.0008660994,0.001521903,0.003754372,0.00187519,0.007966044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006940772,"about_ca_system_score_gemma":0.001751615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006219717,"about_ca_topic_score_gemma":0.00142433,"domain_scores_codex":[0.9403515,0.03859961,0.00505475,0.003569302,0.01124175,0.001183142],"domain_scores_gemma":[0.9207653,0.04675186,0.002801995,0.01273545,0.01614271,0.0008025004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001186416,0.0008898166,0.02355,0.001023346,0.0003224048,0.0006217178,0.003244246,0.003323222,0.02102197,0.01984463,0.03006347,0.8949088],"study_design_scores_gemma":[0.001927407,0.006990654,0.2061578,0.001985855,0.001165209,0.007621402,0.004903688,0.09197935,0.1049409,0.160689,0.4105986,0.00104009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06711492,0.0006381038,0.8912103,0.0006165513,0.0004775122,0.01645689,0.001469475,0.002831334,0.01918481],"genre_scores_gemma":[0.2023488,0.0005041721,0.7520398,0.001602062,0.0003186613,0.02885042,0.003823172,0.0007306769,0.009782318],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03855979,"threshold_uncertainty_score":0.2039261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1941270554244931,"score_gpt":0.4406536448886559,"score_spread":0.2465265894641628,"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."}}