{"id":"W4412065128","doi":"10.1117/1.jatis.11.3.031615","title":"Mapping magnetic fields from clouds to cores with PRIMAger","year":2025,"lang":"en","type":"article","venue":"Journal of Astronomical Telescopes Instruments and Systems","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics; University of Victoria","funders":"California Institute of Technology; Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"Magnetic field; Astronomy; Astrobiology; Remote sensing; Optics; Physics; Geology","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":[0.0001262055,0.0001587705,0.000308768,0.00007682471,0.00007033307,0.00008409513,0.0001769188,0.00008006715,0.00001386071],"category_scores_gemma":[0.00002052795,0.0001177334,0.00005387377,0.00005967329,0.00007370961,0.000008423905,0.0001321371,0.0001110212,0.000002583885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001222033,"about_ca_system_score_gemma":0.00006084542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005899275,"about_ca_topic_score_gemma":0.00001712932,"domain_scores_codex":[0.9990274,0.00005050104,0.0004053872,0.0002041466,0.0001135262,0.0001990601],"domain_scores_gemma":[0.9995006,0.00001759735,0.000140667,0.0001590695,0.00007010411,0.000111996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001436664,0.0002204729,0.6837747,0.0001646999,0.0009033396,0.0000227443,0.0005378991,0.0007544273,0.09868241,0.000177415,0.01614029,0.1971849],"study_design_scores_gemma":[0.004361212,0.005395821,0.8009884,0.000862639,0.000129471,0.00006974205,0.002234064,0.0001071212,0.006762286,0.00006291987,0.1784868,0.0005395244],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923261,0.00277788,0.003089664,0.0002300941,0.0004544011,0.0001776226,0.0000163934,0.000002845499,0.000924985],"genre_scores_gemma":[0.9944223,0.0001200863,0.00434822,0.0001158392,0.0002639042,0.000007030294,0.000005596298,0.000008306887,0.0007087388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1966454,"threshold_uncertainty_score":0.4801028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006299441525377852,"score_gpt":0.2199048852063202,"score_spread":0.2136054436809424,"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."}}