{"id":"W2103576714","doi":"10.1029/2007gl030892","title":"Using reversed magnetic flux spots to determine a planet's inner core size","year":2007,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Inner core; Planet; Dynamo; Physics; Dynamo theory; Magnetic flux; Flux (metallurgy); Core (optical fiber); Magnetic field; Astrobiology; Geophysics; Astrophysics; Materials science; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001557634,0.0001263344,0.0001232595,0.0004813947,0.0001218916,0.0003054494,0.0001961838,0.0001928421,0.000604423],"category_scores_gemma":[0.0008093486,0.0001338388,0.0001039875,0.0001830263,0.0002103936,0.0003414664,0.0001882779,0.0001248294,0.0002477083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002179711,"about_ca_system_score_gemma":0.00007741997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001246106,"about_ca_topic_score_gemma":0.00143417,"domain_scores_codex":[0.9999524,0.000007859991,0.000002360695,0.00002145977,0.00001121329,0.000004656429],"domain_scores_gemma":[0.9997136,0.0001167862,0.00007313773,0.00004540242,0.00003579713,0.00001521258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003629988,0.00003182322,0.1721972,0.0001231459,0.00005864445,0.0001588004,0.000234848,0.02621469,0.7403584,0.004509277,0.0003872631,0.055363],"study_design_scores_gemma":[0.00003493739,0.000159894,0.3547528,0.00001993504,0.00005255259,0.0007125621,0.0001437337,0.2044546,0.4318462,0.00457326,0.003185637,0.0000638148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691478,0.0002991449,0.02739859,0.00003827013,0.000009698942,0.000007224392,0.0002146388,0.0001533427,0.002731232],"genre_scores_gemma":[0.9916599,0.00009933086,0.007784088,0.000007533548,0.00000332187,0.000007458166,0.0001353178,0.00001441236,0.0002886119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001246106,"threshold_uncertainty_score":0.002477705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04937116250070572,"score_gpt":0.3265998836696157,"score_spread":0.27722872116891,"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."}}