{"id":"W2846405072","doi":"10.1108/ijphm-12-2016-0067","title":"Predicting cross-cultural intentions to engage in physical activity","year":2018,"lang":"en","type":"article","venue":"International Journal of Pharmaceutical and Healthcare Marketing","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Theory of planned behavior; Structural equation modeling; Psychology; Perception; Social psychology; Path analysis (statistics); Overweight; Consumer behaviour; Value (mathematics); Originality; Marketing; Control (management); Business; Medicine; Body mass index; Economics","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":[0.001711071,0.00009615481,0.0001393483,0.0002971986,0.0001591121,0.0003681243,0.0002087031,0.00003585144,0.0001649757],"category_scores_gemma":[0.001184415,0.00008511895,0.00006974278,0.0001901123,0.0001041014,0.0009420971,0.0001459545,0.0003523129,0.00004239006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006892406,"about_ca_system_score_gemma":0.00002869419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001696774,"about_ca_topic_score_gemma":0.0001285618,"domain_scores_codex":[0.9988264,0.00008133672,0.0003336948,0.0001663499,0.0004176387,0.0001746025],"domain_scores_gemma":[0.9983205,0.0001773155,0.0002125052,0.00005351387,0.001184994,0.00005114112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001054709,0.0001883003,0.554949,0.00006822448,0.00002743606,0.00002005357,0.0002034666,0.000002247631,0.01116378,0.0007914148,0.0001980065,0.4313334],"study_design_scores_gemma":[0.0007181133,0.000007554309,0.9819601,0.0001991948,0.00002181239,0.00003092359,0.0002040004,0.003822347,0.0003110076,0.0001602365,0.01246245,0.0001022673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888324,0.00003990529,0.00005486145,0.008868484,0.001255848,0.0001005167,0.000003484486,0.00001857296,0.0008259537],"genre_scores_gemma":[0.9972791,0.00003063804,0.00008500212,0.0008863359,0.001655076,0.000005257925,0.000001886621,0.000007795847,0.0000488999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4312311,"threshold_uncertainty_score":0.3549831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08815052959511753,"score_gpt":0.436298328358581,"score_spread":0.3481477987634634,"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."}}