{"id":"W4407683300","doi":"10.1111/ejn.70023","title":"Extremely Low‐Frequency and Low‐Intensity Electromagnetic Field Technology (ELF‐EMF) Sculpts Microtubules","year":2025,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Electromagnetic Fields and Biological Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tel Aviv University; Research Executive Agency; Canadian Friends of Tel Aviv University","keywords":"Microtubule; Tubulin; Neuroprotection; Chemistry; Cytoskeleton; Neuroscience; Cell biology; Biophysics; Biology; Cell; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001109406,0.0002084913,0.0001310593,0.0001567797,0.0001079781,0.0001339324,0.0001229888,0.0002545112,0.001203933],"category_scores_gemma":[0.0001162425,0.00006794484,0.0001369496,0.0001313174,0.0001997729,0.0001432259,0.0001300389,0.0002623624,0.0001814818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001580466,"about_ca_system_score_gemma":0.0001006313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000383003,"about_ca_topic_score_gemma":0.0006459062,"domain_scores_codex":[0.9999417,0.00000806326,0.000004238,0.00001427762,0.00001832871,0.00001332035],"domain_scores_gemma":[0.9999459,0.00001951497,0.0000152303,0.000004448237,0.000008898786,0.000005964878],"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":[0.00002882739,0.000009962564,0.0002391061,0.00002396648,0.000001758458,0.00003790336,0.000007997118,0.00005870375,0.9981105,0.00005276703,0.00001943677,0.001409037],"study_design_scores_gemma":[0.000007395441,0.0002564632,0.007521168,0.000007780837,0.000008152133,0.0002550418,0.00002904478,0.0003606805,0.9891992,0.00008776079,0.002263844,0.000003469199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810519,0.001954217,0.01469666,0.0001255418,0.00004171749,0.00003602884,0.0001945773,0.00005728124,0.001842062],"genre_scores_gemma":[0.988422,0.001771704,0.006878116,0.00006770835,0.00001389903,0.00004774857,0.0001762862,0.000009816932,0.002612737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001203933,"threshold_uncertainty_score":0.004027545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005884853413256404,"score_gpt":0.2195206723696981,"score_spread":0.2136358189564417,"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."}}