{"id":"W2119651334","doi":"10.1093/gji/ggt239","title":"The role of the magnetic field morphology on the electromagnetic coupling for nutations","year":2013,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Dipole; Torque; Field strength; Physics; Field (mathematics); Dissipation; Magnetic field; Coupling (piping); Magnetic dipole; Mantle (geology); Computational physics; Mechanics; Geophysics; Condensed matter physics; Materials science; Mathematics; Quantum mechanics","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":[0.0001183974,0.0001064284,0.00008204918,0.00001601592,0.0004146008,0.00006694268,0.0005549864,0.00005154376,0.00011572],"category_scores_gemma":[0.0002688759,0.00005269084,0.0001691498,0.00005156819,0.0001601914,0.000004774857,0.00009935309,0.0001837363,0.00002109109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006293932,"about_ca_system_score_gemma":0.00003689265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002667899,"about_ca_topic_score_gemma":0.00001603598,"domain_scores_codex":[0.9991987,0.00004286398,0.000218222,0.0001312501,0.0001977744,0.0002112253],"domain_scores_gemma":[0.9990442,0.0003511225,0.0001301477,0.0002019213,0.0002392648,0.0000332874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001657839,0.0001826667,0.002073027,0.000004877981,0.0002531575,0.000001001004,0.0001437447,0.0003523268,0.914457,0.02271251,0.03656472,0.02308925],"study_design_scores_gemma":[0.002869075,0.01224206,0.3227431,0.00009803209,0.0002347413,0.0003577124,0.001816433,0.01147689,0.2424492,0.2256134,0.1792849,0.0008143765],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806448,0.0009632021,0.0001543995,0.0149357,0.0005436827,0.0003043722,0.00001298498,0.000003103688,0.002437801],"genre_scores_gemma":[0.9966627,0.0001940301,0.0001175963,0.0006982323,0.0005651427,0.0001042172,0.00000591974,0.000009150063,0.001642994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6720077,"threshold_uncertainty_score":0.3188816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004762876198402221,"score_gpt":0.2213303536660605,"score_spread":0.2165674774676583,"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."}}