{"id":"W4312223771","doi":"10.3390/ijerph20010421","title":"Estimation of Lockdowns’ Impact on Well-Being in Selected Countries: An Application of Novel Bayesian Methods and Google Search Queries Data","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bayesian probability; Perspective (graphical); Popularity; Estimation; Mental health; Computer science; Econometrics; Variable (mathematics); Psychology; Artificial intelligence; Economics; Mathematics; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005976,0.0006431622,0.0009559655,0.00363749,0.0003963671,0.001612985,0.0008035926,0.001279652,0.001897249],"category_scores_gemma":[0.01862722,0.0003941564,0.001798238,0.003788276,0.0005347339,0.001344611,0.001316065,0.001411166,0.0003395659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006618668,"about_ca_system_score_gemma":0.0006949307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03535501,"about_ca_topic_score_gemma":0.01511282,"domain_scores_codex":[0.9974139,0.001660539,0.0001543885,0.0003637791,0.0001943759,0.0002130148],"domain_scores_gemma":[0.9860577,0.01078306,0.001724381,0.0005301395,0.0005865836,0.0003180957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000653913,0.0004792413,0.8461712,0.0003534227,0.001265699,0.0006772361,0.001297371,0.09129658,0.0003651781,0.00469244,0.002696711,0.05005099],"study_design_scores_gemma":[0.0000586577,0.0003104973,0.459055,0.0001888873,0.0004120476,0.0002030933,0.003422162,0.5281584,0.0004687569,0.004934672,0.002677649,0.0001103037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816118,0.0007105626,0.01398923,0.0004177909,0.00002681121,0.00007450322,0.002050424,0.00006785672,0.001051046],"genre_scores_gemma":[0.9905108,0.0003524461,0.005641731,0.00004377844,0.00003060066,0.00006851107,0.00293946,0.00001442914,0.0003982293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03535501,"threshold_uncertainty_score":0.07029843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2860790710783993,"score_gpt":0.5619315044801296,"score_spread":0.2758524334017303,"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."}}