{"id":"W2891038015","doi":"10.1038/s41598-018-31847-y","title":"Rotations of macromolecules affect nonspecific biological responses to magnetic fields","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Electromagnetic Fields and Biological Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetic field; Magnetic moment; Mechanism (biology); Physics; Quantum; Condensed matter physics; Chemical physics; Classical mechanics; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006541555,0.0001395126,0.0001654347,0.0000851275,0.0001668032,0.00005219825,0.0001822812,0.0001841741,0.0001846598],"category_scores_gemma":[0.0007268323,0.0001025738,0.0001087151,0.0003232206,0.0004909584,0.000002394916,0.0001400878,0.0000686131,0.00002927505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005564255,"about_ca_system_score_gemma":0.00007063412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001070075,"about_ca_topic_score_gemma":0.00003512341,"domain_scores_codex":[0.9984265,0.0001242626,0.0003161565,0.0006567778,0.0001718641,0.0003044536],"domain_scores_gemma":[0.9989023,0.00004796465,0.0001030165,0.0006256333,0.000201525,0.0001195788],"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":[0.00008656115,0.00006368928,0.00339676,0.000005730548,0.000007604824,0.00003359244,0.00002866365,0.000001626657,0.982669,0.00007482869,0.01111411,0.002517851],"study_design_scores_gemma":[0.0001278193,0.008659354,0.01337069,0.00002314808,0.00001093508,0.0001554369,0.00002929091,0.00001155349,0.9559,0.001417508,0.02006566,0.0002286519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994976,0.0002934875,0.0008556479,0.0002683172,0.001084455,0.000337813,0.000005430669,0.00001948879,0.002159358],"genre_scores_gemma":[0.9953324,0.00001207449,0.00217563,0.0001644805,0.0001586759,0.000031712,0.00004786846,0.000007579845,0.002069589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02676903,"threshold_uncertainty_score":0.4182839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462921128896336,"score_gpt":0.2730160649249676,"score_spread":0.2583868536360042,"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."}}