{"id":"W2900462197","doi":"10.14738/assrj.58.5105","title":"Geomagnetic Variables and US Market Descriptors as Predictors of the Frequency of Use of the Google Search Terms Anxiety, Depression, Peace and Dow Jones","year":2018,"lang":"en","type":"article","venue":"Advances in Social Sciences Research Journal","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Anxiety; Earth's magnetic field; Depression (economics); Psychology; Great Depression; Econometrics; Social psychology; Economics; Political science; Physics; Psychiatry; Law; Macroeconomics","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":[0.0005148611,0.000215199,0.0002436056,0.0012579,0.0002126818,0.0008477588,0.0001988939,0.0004019923,0.002826567],"category_scores_gemma":[0.005754662,0.0001089797,0.0003820606,0.001881232,0.0002607121,0.0005249002,0.0005749816,0.0004195065,0.0004051632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001692285,"about_ca_system_score_gemma":0.0002601143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00858736,"about_ca_topic_score_gemma":0.01419768,"domain_scores_codex":[0.9997097,0.00007741957,0.00004647733,0.00002942829,0.00008587432,0.00005106367],"domain_scores_gemma":[0.9941397,0.002236751,0.002628317,0.00019652,0.000242386,0.0005563424],"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":[0.00006635959,0.00003835382,0.997771,0.000009288381,0.00005290607,0.00002971687,0.00008149954,0.00008102479,0.00008641923,0.00003894893,0.00009799925,0.001646546],"study_design_scores_gemma":[0.000002224746,0.00003728808,0.9992561,0.000004144783,0.00001793646,0.00005452475,0.0002047434,0.0002228937,0.00002808378,0.00003598175,0.0001338175,0.000002278185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986619,0.0001574315,0.00003886562,0.00005278541,0.000004188134,0.000003098615,0.000315939,0.000003137013,0.0007627052],"genre_scores_gemma":[0.9991285,0.0001201379,0.00005436406,0.00001093743,0.000009304009,0.000004269907,0.0003707273,0.000001910781,0.0002998716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00858736,"threshold_uncertainty_score":0.01707476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03671863911369769,"score_gpt":0.3509694393106978,"score_spread":0.3142508001970001,"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."}}