{"id":"W122624662","doi":"","title":"Engineering Aspects of Biological Studies on Mobile Phone Safety","year":2013,"lang":"en","type":"article","venue":"Engineering and Applied Science Research","topic":"Electromagnetic Fields and Biological Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Mobile phone; Risk analysis (engineering); Reliability (semiconductor); Quality (philosophy); Engineering; Internet privacy; Computer science; Telecommunications; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009058331,0.00009850966,0.0001379173,0.00009043102,0.00009258191,0.00002203942,0.0001903369,0.00008456851,0.00001063084],"category_scores_gemma":[0.00041192,0.0000667066,0.00002157433,0.0003320278,0.0003182538,0.000002848554,0.0001772314,0.0001875841,0.00001007961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001352133,"about_ca_system_score_gemma":0.00002811012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003712022,"about_ca_topic_score_gemma":1.84694e-7,"domain_scores_codex":[0.9989441,0.00001478526,0.0001234728,0.0003233848,0.0002124648,0.0003817833],"domain_scores_gemma":[0.999504,0.0001306012,0.00001550541,0.0001633971,0.00008787557,0.00009861607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001133149,0.00002114024,0.00001430777,0.00002028992,0.000007187155,4.578199e-7,0.00002316358,0.001658701,0.9922206,0.003662958,0.00004279495,0.00231708],"study_design_scores_gemma":[0.0001749452,0.00188088,0.001914381,0.00002582023,0.000001043622,0.000003766432,0.0001013842,0.002281484,0.9930246,0.0001478278,0.0003127449,0.000131047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978395,0.0005617426,0.0001116917,0.00004208641,0.00004208028,0.0002335849,9.130826e-7,0.00001417234,0.001154287],"genre_scores_gemma":[0.9988232,0.0003237794,0.0006498761,0.0000144062,0.00006788745,0.00007945544,0.000001829614,0.000005155815,0.00003437517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00351513,"threshold_uncertainty_score":0.2720216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02507899680428017,"score_gpt":0.3080958748242548,"score_spread":0.2830168780199746,"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."}}