{"id":"W4232876393","doi":"10.1093/med/9780199685219.003.0007","title":"From items to scales","year":2014,"lang":"en","type":"book","venue":"","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Salience (neuroscience); Weighting; Judgement; Psychology; Scale (ratio); Computer science; Social psychology; Cognitive psychology; Artificial intelligence; Information retrieval; Applied psychology; Epistemology; Medicine; Geography; Cartography","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00321837,0.00050801,0.001158966,0.001013014,0.0001325713,0.001410327,0.003538236,0.0005645623,0.02606535],"category_scores_gemma":[0.00609008,0.0003500934,0.0004012287,0.0003386645,0.00009845772,0.0001952563,0.001181773,0.0003735565,0.09065954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001397934,"about_ca_system_score_gemma":0.0001868166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007886004,"about_ca_topic_score_gemma":0.000409688,"domain_scores_codex":[0.9914889,0.0002495082,0.001689768,0.00176667,0.004373849,0.0004313418],"domain_scores_gemma":[0.9872229,0.00820913,0.0004989622,0.002939807,0.0006390636,0.0004901162],"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":[0.00001469465,0.000007719274,0.0000288141,0.00000120192,0.00001128117,0.00001230392,0.00009302288,0.00001512459,0.00008685075,0.001984162,0.8601694,0.1375755],"study_design_scores_gemma":[0.0001477847,0.00002465177,0.000273932,0.00009436522,0.000008421776,0.000002377462,0.00003795338,0.0007115186,0.00002933671,0.1635928,0.8346751,0.0004017375],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004312066,0.0001346881,0.08574178,0.0007835231,0.003621531,0.0003952183,0.0001969871,0.0001585739,0.9085365],"genre_scores_gemma":[0.001177812,0.000002451432,0.02321511,0.002850892,0.002519522,0.00001374533,0.00004185559,0.00007290348,0.9701057],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1616086,"threshold_uncertainty_score":0.9998951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2239675788782556,"score_gpt":0.456477145857541,"score_spread":0.2325095669792853,"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."}}