{"id":"W2504431133","doi":"10.1016/j.psychsport.2016.08.006","title":"A multi-sample investigation of the higher-order latent dimensionality of the Sport-Multidimensional Perfectionism Scale-2","year":2016,"lang":"en","type":"article","venue":"Psychology of sport and exercise","topic":"Perfectionism, Procrastination, Anxiety Studies","field":"Psychology","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University; University of Alberta","funders":"","keywords":"Psychology; Perfectionism (psychology); Structural equation modeling; Confirmatory factor analysis; Athletes; Exploratory factor analysis; Clinical psychology; Scale (ratio); Sample (material); Latent variable; Psychometrics; Statistics; Physical therapy; Chemistry; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0004579863,0.0001887893,0.0004013294,0.00007630666,0.0002429134,0.000002041647,0.0001851669,0.0001849953,0.0002240435],"category_scores_gemma":[0.00002319949,0.0001033232,0.0001611788,0.0003111912,0.00147778,0.00007283009,0.0001137649,0.0001422001,0.000007300823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002139798,"about_ca_system_score_gemma":0.00004102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005398862,"about_ca_topic_score_gemma":0.000096973,"domain_scores_codex":[0.9984821,0.00003027227,0.0005960873,0.0004060045,0.0002719609,0.0002135402],"domain_scores_gemma":[0.9984373,0.0000571965,0.0005451062,0.000523116,0.0003832802,0.00005397942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002068702,0.000243386,0.9846779,0.00003212656,0.00006929738,3.25769e-7,0.001017765,0.000003495274,0.01050605,0.000935234,0.0007356638,0.001571946],"study_design_scores_gemma":[0.001417067,0.00006198082,0.9916295,0.00014949,0.00009629052,0.00001592601,0.00009087064,0.000006147644,0.003827658,0.001479728,0.001110613,0.000114677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944211,0.0005411959,0.00006779087,0.002687946,0.001619817,0.0004095362,0.00003023662,0.00002303463,0.000199401],"genre_scores_gemma":[0.9970734,0.0002173467,0.001164757,0.0001623633,0.00005633189,0.00004722591,0.000005996138,0.00001642738,0.001256154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006951707,"threshold_uncertainty_score":0.5444943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02843531853503467,"score_gpt":0.2946492790033718,"score_spread":0.2662139604683371,"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."}}