{"id":"W7144771964","doi":"","title":"Dynamic Spectra data of VLF/ELF measurements at Athabasca, Canada","year":2014,"lang":"en","type":"dataset","venue":"Institutional Repositories DataBase (IRDB)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spectral line; Antenna (radio); Magnetometer; Sampling (signal processing); Sensitivity (control systems); Magnetic field; Field (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":[0.0006526542,0.002326342,0.001525344,0.006664956,0.001779597,0.00261227,0.003343632,0.001394159,0.0401262],"category_scores_gemma":[0.005223812,0.0007136332,0.001114612,0.02037598,0.0005928967,0.001040792,0.001933371,0.001542132,0.03716413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009009995,"about_ca_system_score_gemma":0.01677021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8875232,"about_ca_topic_score_gemma":0.9205279,"domain_scores_codex":[0.9986699,0.00005850983,0.0001058932,0.0003070843,0.0005263011,0.0003323978],"domain_scores_gemma":[0.9953902,0.0003928379,0.0002932441,0.0006192219,0.002993532,0.000311013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005354258,0.00001389265,0.002332747,0.0005098297,0.00004533849,0.00002545637,0.00003961862,0.0004133815,0.0001178019,0.000362571,0.9933769,0.00270888],"study_design_scores_gemma":[0.00009144835,0.00000654562,0.02447985,0.000435923,0.00005867817,0.00004374019,0.0002434556,0.0005302706,0.0005711237,0.0004652309,0.9730043,0.00006942794],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001315839,0.00004692366,0.00002168802,0.00001970819,0.000006058846,0.000004105023,0.9992042,0.0001041952,0.0004615428],"genre_scores_gemma":[0.000530404,0.00008131962,0.0001024421,0.00001338196,0.00000283436,0.00002125853,0.9985464,0.00004520899,0.000656695],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1124768,"threshold_uncertainty_score":0.2262783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04532352068471342,"score_gpt":0.2879915822973182,"score_spread":0.2426680616126048,"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."}}