{"id":"W4376271949","doi":"10.21203/rs.3.rs-2875316/v1","title":"Detection of primary paleomagnetic remanence carriers in zircon crystals using high-resolution X-ray ptycho-tomography","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada)","funders":"Diamond Light Source","keywords":"Remanence; Zircon; Magnetite; Tomography; Materials science; Resolution (logic); Paleomagnetism; Geology; Magnetic field; Mineralogy; Optics; Magnetization; Physics; Geochemistry; Geophysics; Paleontology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001625193,0.0003506399,0.0005872555,0.001602386,0.0001759391,0.00008560771,0.000582027,0.0002408828,0.00003669054],"category_scores_gemma":[0.000116462,0.0003977476,0.0002391044,0.001400127,0.000406153,0.0002025902,0.0009005006,0.00181584,0.000006755635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003573128,"about_ca_system_score_gemma":0.0003493301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005696235,"about_ca_topic_score_gemma":0.0001157275,"domain_scores_codex":[0.9959399,0.0006498296,0.000652858,0.0008913369,0.001052592,0.0008135063],"domain_scores_gemma":[0.9976603,0.0003164172,0.0003163346,0.001049714,0.0005168971,0.0001402995],"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":[0.0002851414,0.0004597449,0.1139249,0.004600374,0.0002087049,0.00006717504,0.001527578,0.04673373,0.8024734,0.001091667,0.0001941746,0.02843337],"study_design_scores_gemma":[0.002858131,0.001324481,0.3407375,0.01843829,0.0001915997,0.000004742698,0.00469505,0.03328397,0.2603411,0.3338748,0.001013056,0.003237329],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.82595,0.0007529777,0.1694424,0.00009563681,0.0003277496,0.00227196,0.000303821,0.0003237429,0.0005316446],"genre_scores_gemma":[0.9845749,0.00008695322,0.01444436,0.000002711059,0.0002203649,0.0003440947,0.0001658357,0.00008861801,0.00007215966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5421324,"threshold_uncertainty_score":0.9998474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05318258372005982,"score_gpt":0.3625688336578818,"score_spread":0.309386249937822,"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."}}