{"id":"W2793041739","doi":"10.1016/j.bpj.2017.11.1841","title":"Measuring the Effective Temperature of Single Magnetotactic Bacteria as a Tool to Study Non-Thermal Biological Noise","year":2018,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Magnetic and Electromagnetic Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Magnetotactic bacteria; Magnetosome; Magnetic moment; Magnetic field; Single domain; Tracking (education); Magnetic force microscope; Magnetic tweezers; Magnetic domain; Moment (physics); Noise (video); Physics; Microscope; Magnetization; Biological system; Microscopy; Magnetite; Materials science; Condensed matter physics; Biology; Optics; Optical tweezers; Classical mechanics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003193594,0.0002166784,0.0002429024,0.00003458705,0.0002023143,0.00006750989,0.0003361035,0.0001218911,0.000118574],"category_scores_gemma":[0.0002251366,0.0001309392,0.0001423994,0.0001725588,0.0001657979,0.000005257406,0.0001570411,0.0002312922,0.00005184541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001676017,"about_ca_system_score_gemma":0.00005133613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001188516,"about_ca_topic_score_gemma":0.000002724438,"domain_scores_codex":[0.9985875,0.0002822624,0.0002448661,0.0003050494,0.0002303209,0.000350017],"domain_scores_gemma":[0.9991911,0.00004686924,0.0001067048,0.0003092026,0.0001978285,0.0001482685],"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":[0.0006787719,0.0005650581,0.0005054082,0.000005605405,0.00008151407,0.00001432753,0.0002257808,0.000002160799,0.990209,0.000006158379,0.0002375369,0.00746868],"study_design_scores_gemma":[0.0008281686,0.0249736,0.1058078,0.00001817614,0.00005120687,0.0001230174,0.00009322923,0.000008869572,0.8674377,0.00001626878,0.000446933,0.0001950129],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984757,0.00003850147,0.00006780889,0.000163588,0.0002235887,0.0006043848,0.00000336619,0.000006832884,0.0004162302],"genre_scores_gemma":[0.997713,0.000005122251,0.0002680148,0.0002715835,0.001570896,0.0000343527,0.000002659382,0.00001876474,0.0001155976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1227713,"threshold_uncertainty_score":0.5339547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00790897756089951,"score_gpt":0.2358805744302105,"score_spread":0.227971596869311,"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."}}