{"id":"W3112823139","doi":"10.3390/psych2040026","title":"Better Rating Scale Scores with Information–Based Psychometrics","year":2020,"lang":"en","type":"article","venue":"Psych","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; McGill University","funders":"","keywords":"Metric (unit); A priori and a posteriori; Psychometrics; Scale (ratio); Computer science; Item response theory; Rating scale; Data science; Statistics; Test (biology); Data mining; Econometrics; Psychology; Machine learning; Mathematics","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":[0.06179217,0.002111061,0.002025642,0.004932904,0.0004543096,0.00661497,0.002447144,0.001866179,0.00848712],"category_scores_gemma":[0.3222236,0.0009749802,0.002031519,0.007362141,0.002697364,0.008430634,0.005061847,0.004131546,0.00416011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018068,"about_ca_system_score_gemma":0.001101006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00150228,"about_ca_topic_score_gemma":0.001256853,"domain_scores_codex":[0.9327877,0.0412013,0.004814339,0.005358316,0.01515806,0.0006802962],"domain_scores_gemma":[0.7648508,0.1493713,0.01501694,0.04966739,0.02006615,0.001027509],"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":[0.0004386878,0.0004268892,0.0289486,0.001014053,0.0005761473,0.0001513304,0.0015401,0.03350069,0.007131722,0.09713334,0.01124224,0.8178962],"study_design_scores_gemma":[0.0002667241,0.001106905,0.04678744,0.0007303958,0.0003719162,0.0007212713,0.0007631174,0.5080035,0.01248113,0.404597,0.02356936,0.0006012787],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01911145,0.0004848603,0.9725493,0.001256453,0.0001795858,0.0001981496,0.0003702677,0.002165291,0.003684634],"genre_scores_gemma":[0.2549919,0.0005567136,0.7405455,0.0005238396,0.0003077743,0.0003568067,0.000763287,0.0006912553,0.001262881],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06179217,"threshold_uncertainty_score":0.3267921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4308961238263982,"score_gpt":0.4354774462568831,"score_spread":0.004581322430484869,"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."}}