{"id":"W4405636900","doi":"10.1016/j.nsa.2024.104535","title":"A framework for rating scale development: example from the depression inventory development project","year":2024,"lang":"en","type":"article","venue":"Neuroscience Applied","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Indoc Research","funders":"","keywords":"Rating scale; Scale (ratio); Depression (economics); Development (topology); Concept inventory; Psychology; Computer science; Operations research; Engineering; Economics; Geography; Mathematics; Cartography; Developmental psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006371364,0.0002006522,0.0002457862,0.0002637064,0.001046208,0.00102427,0.001594477,0.00009096697,0.000033605],"category_scores_gemma":[0.01694944,0.0001133083,0.00006801385,0.002997866,0.0001656808,0.0002058202,0.0004594973,0.0002966071,0.0000431086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005020008,"about_ca_system_score_gemma":0.0004672713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003328411,"about_ca_topic_score_gemma":0.00001552579,"domain_scores_codex":[0.9960484,0.0001538843,0.0007104914,0.001207508,0.001384046,0.0004956902],"domain_scores_gemma":[0.9733868,0.0255786,0.0002232595,0.0006351655,0.00007818851,0.0000980066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004177813,0.00004754583,0.01150552,0.00002048983,0.000005635184,0.000004378513,0.009128431,0.00007879543,0.02163089,0.003439461,0.006302706,0.9477944],"study_design_scores_gemma":[0.0005071641,0.00005061437,0.08545664,0.000292165,0.00001558069,0.000009888321,0.00363024,0.01356349,0.04399845,0.09077056,0.7610266,0.0006785916],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4026547,0.0003403907,0.5925348,0.0001537616,0.001836094,0.0007460047,0.000004076016,0.000195963,0.001534258],"genre_scores_gemma":[0.6574255,0.000007171214,0.3406676,0.001039043,0.0002025745,0.0003596109,0.000002990698,0.00001981477,0.0002756771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9471158,"threshold_uncertainty_score":0.9913312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5878259806641543,"score_gpt":0.4778536494283459,"score_spread":0.1099723312358084,"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."}}