{"id":"W4381542555","doi":"10.5334/jeps.546","title":"Improving attitudes towards breaks from sitting using affective and cognitive messages","year":2022,"lang":"en","type":"article","venue":"Journal of European Psychology Students","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Toronto","funders":"","keywords":"Cognition; Context (archaeology); Psychology; Matching (statistics); Sitting; Affect (linguistics); Attitude change; Social psychology; Positive attitude; Medicine; Communication","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":[0.00130111,0.0003018663,0.0003245643,0.0001453056,0.0001877745,0.0003420662,0.000199345,0.0004005475,0.002834154],"category_scores_gemma":[0.006086374,0.0001431658,0.0002306782,0.00007814001,0.0001340109,0.000311166,0.0002859165,0.0005511254,0.0003404873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001123778,"about_ca_system_score_gemma":0.0001976486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000335617,"about_ca_topic_score_gemma":0.0004358054,"domain_scores_codex":[0.9993147,0.0003260548,0.00005736413,0.00008188339,0.0001475264,0.00007247109],"domain_scores_gemma":[0.9970698,0.001800636,0.0005400605,0.0001130756,0.0001009791,0.0003752423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.05553945,0.1168819,0.09422068,0.001882806,0.0008213578,0.0001477464,0.004717284,0.000690991,0.08020935,0.0003430444,0.0008254226,0.6437199],"study_design_scores_gemma":[0.005355867,0.2144949,0.7457002,0.0002447084,0.001166578,0.0001569161,0.001779159,0.002522065,0.02419819,0.0007060796,0.003598968,0.0000763445],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998948,0.00008247535,0.0003016737,0.00005255608,0.00002720669,0.00007593611,0.0000125282,0.00001053275,0.0004891961],"genre_scores_gemma":[0.9977906,0.0001040547,0.001392582,0.00008214483,0.00003999081,0.00009649523,0.00002401329,0.000002432664,0.0004677196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002834154,"threshold_uncertainty_score":0.009481132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.076115804676545,"score_gpt":0.4632984729997666,"score_spread":0.3871826683232216,"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."}}