{"id":"W7151693558","doi":"","title":"Features of Earth&apos;s local magnetic field in different locations","year":2019,"lang":"en","type":"article","venue":"Lithuanian University of Health Sciences","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Magnetometer; Magnetic field; Field (mathematics); Interval (graph theory); Space weather; Interplanetary magnetic field; Spectral density; Intensity (physics)","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":[0.00007386618,0.000113914,0.000110571,0.0008868014,0.0001812939,0.0002834512,0.000104161,0.0001093289,0.002707501],"category_scores_gemma":[0.0003221376,0.00002996527,0.00008614527,0.001033311,0.0001643413,0.0001588378,0.0001711748,0.00008694464,0.0003540755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002487613,"about_ca_system_score_gemma":0.0001696679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01844487,"about_ca_topic_score_gemma":0.04589667,"domain_scores_codex":[0.9999387,0.00000414431,0.000005802549,0.00001745772,0.00001913656,0.00001468182],"domain_scores_gemma":[0.9998422,0.00001985894,0.00005266998,0.00000944845,0.00005551971,0.00002032085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000454069,0.0000476914,0.8176966,0.0002981598,0.0001284818,0.001063523,0.002319593,0.001017074,0.02777897,0.0008888646,0.01054238,0.1377647],"study_design_scores_gemma":[0.000003105285,0.0000195289,0.9954836,0.000008374145,0.00001464166,0.0001991929,0.0005368615,0.0003361334,0.0009226749,0.00008505625,0.002385181,0.000005642966],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878345,0.0002301157,0.0007149036,0.00009867213,0.0000245773,0.00001409538,0.003672348,0.00006740107,0.007343475],"genre_scores_gemma":[0.9965071,0.0001060832,0.0003562284,0.00001732297,0.00001090401,0.000006592878,0.001103987,0.000007603597,0.001884187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01844487,"threshold_uncertainty_score":0.03667504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01872508417917018,"score_gpt":0.2880742054844477,"score_spread":0.2693491213052776,"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."}}