{"id":"W1968991883","doi":"10.3390/biom3010168","title":"Soybean Hydrophobic Protein Response to External Electric Field: A Molecular Modeling Approach","year":2013,"lang":"en","type":"article","venue":"Biomolecules","topic":"Magnetic and Electromagnetic Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electric field; Molecular dynamics; Chemical physics; Materials science; Electromagnetic field; Field (mathematics); Protein structure; Accessible surface area; Biological system; Chemistry; Biophysics; Nanotechnology; Physics; Computational chemistry; Biology; Biochemistry; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002524556,0.0003024456,0.000201757,0.000155967,0.00009205551,0.00008895439,0.0003886141,0.000205838,0.00007424229],"category_scores_gemma":[0.0001788332,0.0002878468,0.0001318193,0.000293693,0.00003006095,0.000005248075,0.0001513643,0.0001304567,0.0001140779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000204742,"about_ca_system_score_gemma":0.00009761684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003081197,"about_ca_topic_score_gemma":0.000003288699,"domain_scores_codex":[0.9979979,0.0002290487,0.0002675755,0.0006316694,0.0002547265,0.0006190226],"domain_scores_gemma":[0.998997,0.00001490829,0.00005237676,0.0005673246,0.00009932826,0.0002690052],"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":[0.0003507141,0.00008935972,0.00001341171,0.00002191173,0.00002143622,0.00001357271,0.00002712875,0.0001261971,0.9950852,0.0001106787,0.0007324247,0.003407947],"study_design_scores_gemma":[0.0005262872,0.002492668,0.0001324111,0.00002523559,0.000016855,0.00005617559,0.00002645443,0.01187917,0.9835138,0.0003095357,0.0005853312,0.0004361119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8816787,0.001045855,0.1140843,0.0005224997,0.00003485283,0.0009340899,0.000001532251,0.00003891048,0.001659196],"genre_scores_gemma":[0.9852201,0.00001112285,0.01218978,0.001107827,0.0001100219,0.0004241675,0.00001530964,0.00005125284,0.0008703656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1035414,"threshold_uncertainty_score":0.9999574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004410849227549117,"score_gpt":0.2175382701636827,"score_spread":0.2131274209361336,"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."}}