{"id":"W2069001320","doi":"10.1063/1.2901602","title":"Design of a compensated signal rod for low magnetic moment sample measurements with a vibrating sample magnetometer","year":2008,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal; Regroupement Québécois sur les Matériaux de Pointe","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetometer; Diamagnetism; SIGNAL (programming language); Magnetic field; Materials science; Nuclear magnetic resonance; Sample (material); Magnetic moment; Fluxgate compass; Acoustics; Field (mathematics); Optics; Physics; Condensed matter physics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002297349,0.001525284,0.001857871,0.001484351,0.0008569979,0.001153898,0.00565663,0.002003047,0.002815595],"category_scores_gemma":[0.002053558,0.001563928,0.0006679798,0.001053211,0.0008603311,0.001129661,0.0009851904,0.00138805,0.002467699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002895,"about_ca_system_score_gemma":0.001987135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000772913,"about_ca_topic_score_gemma":0.001297902,"domain_scores_codex":[0.9970669,0.0003328259,0.000239881,0.0009901328,0.001163524,0.0002068162],"domain_scores_gemma":[0.9967595,0.0006490786,0.0006869959,0.0005252131,0.001007572,0.0003716398],"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":[0.0003788914,0.0001197994,0.00103912,0.0002477524,0.00002517287,0.0001295808,0.00006064708,0.0003224362,0.9771712,0.001537116,0.0005934429,0.01837481],"study_design_scores_gemma":[0.0002737882,0.002285139,0.005547238,0.00004697734,0.0001405781,0.001020764,0.00005888245,0.02052135,0.9534871,0.0003669352,0.01603674,0.0002143912],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1316043,0.0007716311,0.8571857,0.0005725169,0.0009133978,0.001855371,0.0007112566,0.004565691,0.001820036],"genre_scores_gemma":[0.1769699,0.0002790717,0.81756,0.0002708018,0.0001656788,0.001293569,0.0005570589,0.0001604712,0.002743379],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00565663,"threshold_uncertainty_score":0.01214963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04439983336297652,"score_gpt":0.2550724883863759,"score_spread":0.2106726550233994,"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."}}