{"id":"W4389271933","doi":"10.46620/ursigass.2023.0536.dlrm7814","title":"Multi GNSS carrier phase irregularities in response to magnetic field perturbations over Canada","year":2023,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"GNSS applications; Phase (matter); Geodesy; Field (mathematics); Global Positioning System; Physics; Remote sensing; Computer science; Geology; Telecommunications; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001961581,0.0001969992,0.0002452483,0.0005810324,0.0009484848,0.0008005457,0.0003734969,0.0004566325,0.001433063],"category_scores_gemma":[0.00135916,0.0001682425,0.0001482275,0.001254889,0.0004420532,0.0002085939,0.0004025616,0.0004266129,0.0002230231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004958145,"about_ca_system_score_gemma":0.003635088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8894305,"about_ca_topic_score_gemma":0.9335023,"domain_scores_codex":[0.9997502,0.0000117399,0.000007058778,0.00003791747,0.0001059515,0.00008716308],"domain_scores_gemma":[0.9991398,0.0001007363,0.00007490785,0.00003172884,0.0005392152,0.0001135738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003467863,0.0002860124,0.747454,0.0001478281,0.0002641854,0.001489371,0.002347363,0.1242966,0.05485745,0.001417722,0.01182461,0.05214709],"study_design_scores_gemma":[0.00001912666,0.00003687379,0.9730929,0.00001021661,0.00001708136,0.00006276135,0.0008950382,0.02145716,0.001492724,0.0000778204,0.002816199,0.00002218372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954986,0.00006012238,0.0002528388,0.0001455143,0.000019789,0.000009855293,0.0007808855,0.00003674689,0.003195634],"genre_scores_gemma":[0.9984872,0.00002542911,0.00006941301,0.00001688637,0.00000277147,0.000001814215,0.0003800023,0.000007568809,0.001008874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1105695,"threshold_uncertainty_score":0.2224414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220437218711523,"score_gpt":0.2459146796516891,"score_spread":0.2337103074645739,"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."}}