{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001709798,0.001531796,0.001686058,0.0005047001,0.001230648,0.000209104,0.005804935,0.0005558041,0.0006479115],"category_scores_gemma":[0.003344292,0.001594782,0.0002473809,0.0009442119,0.001343472,0.001571188,0.005158675,0.001287363,0.001199721],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007637265,"about_ca_system_score_gemma":0.01497661,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.826445,"about_ca_topic_score_gemma":0.9617713,"domain_scores_codex":[0.9864452,0.0004578322,0.002337815,0.002790162,0.006687134,0.001281832],"domain_scores_gemma":[0.9851784,0.0004164377,0.00213021,0.01039718,0.001150812,0.0007270108],"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":[0.0004271488,0.0003875252,0.0005500146,0.001063796,0.0009969018,0.0008914114,0.000006850003,0.0001418113,0.002622489,0.0002517261,0.9926347,0.00002565873],"study_design_scores_gemma":[0.001127283,0.00007308737,0.0007912411,0.001326389,0.0009316063,0.0007975537,0.00001154019,0.0001770301,0.002051923,0.00001068222,0.9912402,0.001461437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008496481,0.001490397,0.0001518596,0.00008065268,0.01129138,0.0009540982,0.9841017,0.0001414014,0.0009388686],"genre_scores_gemma":[0.002157075,0.000155437,0.001477925,0.0001277619,0.001619141,0.0000883851,0.9938173,0.0001653607,0.0003916603],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1353263,"threshold_uncertainty_score":0.999743,"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."}}