{"id":"W3004493109","doi":"10.1080/08959285.2019.1710513","title":"Development and Validation of the State Regulatory Focus Scale","year":2020,"lang":"en","type":"article","venue":"Human Performance","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Regulatory focus theory; Scale (ratio); Psychology; Focus (optics); Promotion (chess); Predictive validity; State (computer science); Variety (cybernetics); Convergent validity; Social psychology; Psychometrics; Developmental psychology; Computer science; Political science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00007889723,0.00004404047,0.00005959926,0.0000144166,0.000122292,0.000004338302,0.00007592663,0.00002198244,0.0002920742],"category_scores_gemma":[0.000001007817,0.00003369593,0.00001932734,0.00005828564,0.00004942869,0.00005239318,0.00003172482,0.00007187487,0.00004367371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001057928,"about_ca_system_score_gemma":0.00001505843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001482783,"about_ca_topic_score_gemma":0.0000193983,"domain_scores_codex":[0.9995359,0.00001988156,0.0001857115,0.00009256879,0.00006944694,0.00009649162],"domain_scores_gemma":[0.9997498,0.000002284414,0.00007113778,0.000110688,0.00002066903,0.00004541337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001298277,0.0002733075,0.5286309,0.0003244266,0.00003191767,0.000001349303,0.04946753,0.00001162681,0.006069255,0.002185054,0.009624782,0.40325],"study_design_scores_gemma":[0.0002511952,0.00008669265,0.9642128,0.0000349339,0.000004935984,0.000001392071,0.0001114822,0.00001725896,0.02791782,0.00002169044,0.007288249,0.00005156765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975856,0.00008959939,0.00001003185,0.000139867,0.00009723259,0.0001060972,0.000002719398,0.00001435801,0.001954514],"genre_scores_gemma":[0.9985831,0.000002225594,0.00009468584,0.0001124705,0.00002067209,0.00001442847,0.000002394937,0.000005012686,0.001165048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4355819,"threshold_uncertainty_score":0.3198007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08197567667843707,"score_gpt":0.3491949943413773,"score_spread":0.2672193176629402,"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."}}