{"id":"W4225302941","doi":"10.52768/2766-7820/1639","title":"Healthy disorders by WLAN-exposure","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Images and Medical Case Reports","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Association of Physicists","funders":"","keywords":"Artifact (error); Medicine; Physical medicine and rehabilitation; Audiology; Computer science; Artificial intelligence","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":[0.0001114539,0.0006991259,0.0002096065,0.0008670982,0.00126426,0.000638463,0.0002488303,0.0007749401,0.008504726],"category_scores_gemma":[0.0005429749,0.0002381779,0.0002495176,0.0005212298,0.0006904543,0.0004949751,0.0006255541,0.0006700922,0.001818427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003947585,"about_ca_system_score_gemma":0.0004015396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002676558,"about_ca_topic_score_gemma":0.002930327,"domain_scores_codex":[0.9998038,0.00002339272,0.00001237449,0.00005287208,0.00002785754,0.00007967831],"domain_scores_gemma":[0.9998833,0.0000178431,0.00003415763,0.00001238521,0.00001399174,0.00003833483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.0005600511,0.0003433229,0.1375281,0.0001720665,0.00004650504,0.8164701,0.00121149,0.0001243135,0.01020862,0.001870497,0.003647515,0.02781739],"study_design_scores_gemma":[0.00005807625,0.0006097135,0.161328,0.0001720332,0.0001056233,0.8169167,0.001298633,0.0002915297,0.002767417,0.001793007,0.01462586,0.00003341928],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9191965,0.008439973,0.00257245,0.002259909,0.000402763,0.0001384507,0.0003123867,0.0001655171,0.06651205],"genre_scores_gemma":[0.987693,0.001930322,0.0003782381,0.001300125,0.0002092532,0.00001652194,0.00009393108,0.00001315426,0.00836541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008504726,"threshold_uncertainty_score":0.02845114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451786048487066,"score_gpt":0.3256132465733286,"score_spread":0.3110953860884579,"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."}}