{"id":"W2525420533","doi":"10.1016/j.pepi.2016.09.007","title":"Microwave paleointensities indicate a low paleomagnetic dipole moment at the Permo-Triassic boundary","year":2016,"lang":"en","type":"article","venue":"Physics of The Earth and Planetary Interiors","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Russian Foundation for Basic Research; Royal Society","keywords":"Paleomagnetism; Geology; Flood basalt; Thermoremanent magnetization; Earth's magnetic field; Natural remanent magnetization; Basalt; Permian; Igneous rock; Paleontology; Geophysics; Magnetostratigraphy; Large igneous province; Dipole; Remanence; Tectonics; Magnetization; Magmatism; Magnetic field; Structural basin; Volcanism; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001024514,0.0002282786,0.00021416,0.00001804488,0.0002298495,0.00002244814,0.00027807,0.00006489884,0.00009767264],"category_scores_gemma":[0.00001869777,0.0001147196,0.0001325869,0.00004959476,0.0007673468,0.000006718487,0.0003598869,0.00008361546,0.0000358261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000321782,"about_ca_system_score_gemma":0.00003362933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005788903,"about_ca_topic_score_gemma":0.0004861503,"domain_scores_codex":[0.9989341,0.0001026977,0.0002281089,0.0002859236,0.0001559883,0.0002931602],"domain_scores_gemma":[0.9992394,0.00005263407,0.0001463957,0.0004592178,0.00003718727,0.00006511508],"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":[0.0004245047,0.0000552128,0.06578922,0.0001135317,0.0002662614,0.000007579045,0.0008044192,0.000009781871,0.8751369,0.00003538613,0.007974656,0.04938256],"study_design_scores_gemma":[0.001822893,0.001633036,0.6920661,0.0003089535,0.000201179,0.0001689374,0.0004173398,0.00002182572,0.2577881,0.0009096307,0.04400755,0.0006545093],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909119,0.006168609,0.00004519622,0.001333065,0.0002993934,0.0002285068,0.0002504685,0.000007162555,0.0007557259],"genre_scores_gemma":[0.9936908,0.001257511,0.0000386917,0.0003599097,0.0001812433,0.00001190036,0.00005761801,0.00001324442,0.004389109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6262769,"threshold_uncertainty_score":0.4678128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005614640213582478,"score_gpt":0.1807024170473704,"score_spread":0.1750877768337879,"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."}}