{"id":"W2335471892","doi":"10.1037/a0035666","title":"Differences in within- and between-person factor structure of positive and negative affect: Analysis of two intensive measurement studies using multilevel structural equation modeling.","year":2014,"lang":"en","type":"article","venue":"Psychological Assessment","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Institute on Aging; Social Sciences and Humanities Research Council of Canada; Society for Research in Child Development","keywords":"Psychology; Structural equation modeling; Affect (linguistics); Confirmatory factor analysis; Multilevel model; Developmental psychology; Cognition; Psychometrics; Social psychology; Statistics; Communication; Mathematics","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":[0.0005099344,0.0002929817,0.0009750745,0.0003454558,0.00007951325,0.00001796305,0.0001090016,0.000184236,0.00006410689],"category_scores_gemma":[0.0003427384,0.0002000692,0.00009763031,0.0004108034,0.000292518,0.00008129536,0.00004735219,0.0003510971,2.485683e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001009969,"about_ca_system_score_gemma":0.00000804232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005764278,"about_ca_topic_score_gemma":0.0001035492,"domain_scores_codex":[0.9972199,0.0008163591,0.0006121625,0.0006782152,0.0004170842,0.0002562469],"domain_scores_gemma":[0.998145,0.0006686323,0.0004835927,0.0002101309,0.0004053365,0.00008726714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002980303,0.0001515779,0.9378927,0.00004362631,0.002341358,0.000002805703,0.01287281,0.001801653,0.02381879,0.003621356,0.000001984666,0.01715326],"study_design_scores_gemma":[0.001297375,0.0007302753,0.9198935,0.00009176137,0.0004319877,0.00000241219,0.00394085,0.06704516,0.0003185787,0.006045385,4.609681e-8,0.0002026928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751798,0.0001827662,0.02365453,0.0001182747,0.000258721,0.0003641501,0.00007986958,0.00001826489,0.0001436505],"genre_scores_gemma":[0.9967191,0.00001810113,0.003103106,0.00008680352,0.00004041655,0.00001034427,0.00001134441,0.000008707902,0.000002122444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06524351,"threshold_uncertainty_score":0.8158586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2567004352758091,"score_gpt":0.4497726972349307,"score_spread":0.1930722619591216,"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."}}