{"id":"W1186563424","doi":"10.1080/13548506.2015.1074710","title":"Using short vignettes to disentangle perceived capability from motivation: a test using walking and resistance training behaviors","year":2015,"lang":"en","type":"article","venue":"Psychology Health & Medicine","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Vignette; Construct (python library); Psychology; Construct validity; Variance (accounting); Sample (material); Test (biology); Resistance (ecology); Applied psychology; Social psychology; Developmental psychology; Clinical psychology; Psychometrics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002314179,0.0005212302,0.0003825883,0.000648473,0.0005442685,0.000916615,0.0005642642,0.00111176,0.003891742],"category_scores_gemma":[0.01663896,0.0004906534,0.0006833836,0.000598239,0.0005720265,0.0007265069,0.0007775805,0.001304057,0.0005725753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005083922,"about_ca_system_score_gemma":0.0003562222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001235213,"about_ca_topic_score_gemma":0.001341589,"domain_scores_codex":[0.9984905,0.0008244571,0.0001996205,0.0001309642,0.0002361121,0.0001183556],"domain_scores_gemma":[0.9843242,0.01150766,0.001647421,0.000995324,0.0008246936,0.0007007084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01727564,0.1170519,0.5038162,0.001451656,0.000558648,0.001879559,0.06526649,0.006644003,0.07710255,0.003927608,0.004661698,0.2003639],"study_design_scores_gemma":[0.001403961,0.05370308,0.8973199,0.0001223453,0.0001469985,0.000523526,0.01206852,0.01021014,0.01614855,0.0014363,0.006718416,0.0001982895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978377,0.00001231606,0.0006865739,0.00003112656,0.00001110754,0.0007046617,0.000103951,0.00002000404,0.0005926215],"genre_scores_gemma":[0.9843572,0.00008152252,0.0102006,0.000106896,0.00002156953,0.002970785,0.0006131415,0.000008993071,0.001639284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003891742,"threshold_uncertainty_score":0.01301914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3297083665994271,"score_gpt":0.5114317030169414,"score_spread":0.1817233364175143,"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."}}