{"id":"W3196389154","doi":"10.2196/19630","title":"Global Changes and Factors of Increase in Caloric/Salty Food Intake, Screen Use, and Substance Use During the Early COVID-19 Containment Phase in the General Population in France: Survey Study","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":299,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Environmental health; Addiction; Odds ratio; Population; Food addiction; Logistic regression; Screen time; Cannabis; Demography; Psychiatry; Obesity; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002599448,0.0002052141,0.0004603204,0.0001165432,0.0001466519,0.00007741039,0.0001489551,0.00008497269,0.000005093832],"category_scores_gemma":[0.0004772787,0.0001472195,0.00001577764,0.0008538426,0.0000907196,0.0002090383,0.00005786486,0.0002598223,1.549094e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003416348,"about_ca_system_score_gemma":0.0002863341,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2619544,"about_ca_topic_score_gemma":0.5558409,"domain_scores_codex":[0.995769,0.002347182,0.0005747325,0.0005005825,0.0002677479,0.0005407142],"domain_scores_gemma":[0.998154,0.0008251427,0.0002169362,0.0002501637,0.00003219685,0.0005215521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006238642,0.0003659011,0.9748636,0.0001594955,0.000008478319,0.00001250585,0.02218332,0.000002591963,9.366944e-7,0.0001433234,0.00003723984,0.001598693],"study_design_scores_gemma":[0.005270439,0.001029003,0.9886842,0.000009305927,4.432215e-7,0.000003223855,0.004272575,0.00007504854,5.816211e-8,0.000009834377,0.0005197707,0.0001261106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917226,0.001168342,0.00001604448,0.004224509,0.00006904812,0.002249658,0.000529225,0.00001686505,0.000003654391],"genre_scores_gemma":[0.9948667,0.000249811,0.000004658079,0.004603294,0.00003565814,0.0001401525,0.0000836919,0.00001067124,0.000005362937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2938865,"threshold_uncertainty_score":0.7429603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1549637289130053,"score_gpt":0.4104693467312046,"score_spread":0.2555056178181993,"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."}}