{"id":"W2993914562","doi":"10.1177/0308022619885247","title":"Occupational Repertoire Development Measure – Parent (ORDM-P): Face validity, comprehensiveness, and internal consistency","year":2019,"lang":"en","type":"article","venue":"British Journal of Occupational Therapy","topic":"Occupational Therapy Practice and Research","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Repertoire; Face validity; Internal consistency; Consistency (knowledge bases); Psychology; Content validity; Measure (data warehouse); Applied psychology; Developmental psychology; Psychometrics; Computer science; Artificial intelligence; Data mining","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00216133,0.0002383469,0.0004990723,0.0002282014,0.0008622406,0.00009456267,0.0003526218,0.0002092786,0.00208933],"category_scores_gemma":[0.0003829478,0.0002232883,0.0001609609,0.0002129232,0.0001148732,0.0006552722,0.0001076843,0.001037074,0.0001415546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002400786,"about_ca_system_score_gemma":0.002577068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001168037,"about_ca_topic_score_gemma":0.00005966393,"domain_scores_codex":[0.995406,0.001029019,0.001280796,0.0003299838,0.001535602,0.0004186053],"domain_scores_gemma":[0.9950309,0.001223429,0.001001381,0.0001851965,0.002315386,0.0002436909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004152183,0.0004627844,0.921918,0.0001223971,0.0004391778,0.0001028663,0.001105591,0.00008432088,0.001589138,0.0006437792,0.007948139,0.06143166],"study_design_scores_gemma":[0.003919211,0.0002930046,0.913169,0.0008662288,0.00001300886,0.0005763603,0.0008702913,0.00004738717,0.0001271186,0.0003808878,0.07947442,0.0002631106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907703,0.004594686,0.001170978,0.0006040842,0.00118036,0.0006931105,0.00006369751,0.00002302301,0.0008997418],"genre_scores_gemma":[0.9905593,0.003130819,0.002618373,0.001345058,0.0005746639,0.00003353447,0.00008367725,0.00003854969,0.001615957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07152628,"threshold_uncertainty_score":0.9988229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2682292635581385,"score_gpt":0.462665606652433,"score_spread":0.1944363430942945,"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."}}