{"id":"W3119850514","doi":"10.21203/rs.3.rs-70750/v1","title":"I Sit but I Don’t Know Why: Integrating Controlled and Automatic Motivational Precursors Within a Socioecological Approach to Predict Sedentary Behaviors","year":2020,"lang":"en","type":"preprint","venue":"Research Square (Research Square)","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Victoria","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Psychology; Human–computer interaction; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.01686943,0.001054838,0.002053176,0.002546454,0.001909573,0.0009491901,0.002401018,0.001823948,0.006097293],"category_scores_gemma":[0.00484454,0.0009232672,0.0008485437,0.001750766,0.001674355,0.0003364005,0.004200209,0.0137346,0.000915531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001962215,"about_ca_system_score_gemma":0.002313591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007683858,"about_ca_topic_score_gemma":0.0007374753,"domain_scores_codex":[0.972793,0.01245581,0.002411592,0.003228116,0.005530078,0.003581331],"domain_scores_gemma":[0.9876858,0.004319869,0.0004590149,0.001656669,0.003013385,0.002865241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.01364687,0.02807183,0.1440245,0.01290218,0.002644914,0.001494755,0.08485441,0.0009340128,0.001128279,0.03838283,0.5435567,0.1283587],"study_design_scores_gemma":[0.04158805,0.04349924,0.5256639,0.01559653,0.0009123624,0.0003235478,0.2132801,0.1052292,0.0002766096,0.03291013,0.01391106,0.006809257],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9523773,0.002126986,0.001644506,0.01267523,0.001090133,0.0196679,0.001561692,0.0006696424,0.008186587],"genre_scores_gemma":[0.9715964,0.0001310613,0.004109513,0.0003756381,0.0009961789,0.01792753,0.001475723,0.0002221415,0.003165873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5296457,"threshold_uncertainty_score":0.9998624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1796159753953399,"score_gpt":0.4833821922935454,"score_spread":0.3037662168982055,"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."}}