{"id":"W2977779327","doi":"10.1038/s41746-019-0180-3","title":"How the weather affects the pain of citizen scientists using a smartphone app","year":2019,"lang":"en","type":"article","venue":"npj Digital Medicine","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Engineering and Physical Sciences Research Council; Alan Turing Institute; Arthritis Australia; National Oceanic and Atmospheric Administration; Sight Research UK; Medical Research Council; Royal Society; Natural Environment Research Council; Versus Arthritis","keywords":"Smartphone app; Citizen science; Smartphone application; Mobile apps; Psychology; Computer science; Internet privacy; World Wide Web; Multimedia; Biology","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":[0.002267543,0.0002455815,0.0003324074,0.0005071737,0.0006755943,0.002214849,0.0002407829,0.0006417631,0.004945115],"category_scores_gemma":[0.0188047,0.0001752182,0.0004982224,0.0005460006,0.000589683,0.001287065,0.00105077,0.0008241554,0.0007374655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003351718,"about_ca_system_score_gemma":0.0004413392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002574681,"about_ca_topic_score_gemma":0.004509722,"domain_scores_codex":[0.9979328,0.001206265,0.000141799,0.0002481831,0.000298483,0.0001724951],"domain_scores_gemma":[0.9888372,0.006729991,0.002032288,0.0005991217,0.001307832,0.0004934684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001594814,0.0007903768,0.8674507,0.001597169,0.0005613352,0.0004040422,0.01613503,0.001007428,0.005903543,0.0007246386,0.009730966,0.09410002],"study_design_scores_gemma":[0.00009750156,0.001425095,0.9528057,0.0005721938,0.0004300256,0.00044019,0.02288454,0.003624561,0.001778678,0.001566512,0.01425392,0.0001210979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887639,0.000504629,0.001449785,0.002022754,0.0001135398,0.0001097829,0.00177411,0.00005267751,0.005208913],"genre_scores_gemma":[0.9958753,0.0004236316,0.001380852,0.000721755,0.00006606727,0.00009981675,0.0005379898,0.00001458372,0.0008799784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004945115,"threshold_uncertainty_score":0.01654309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05508504235935677,"score_gpt":0.3545409939157637,"score_spread":0.2994559515564069,"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."}}