{"id":"W7145323447","doi":"","title":"CDF data of cosmic noise absorption measured with the 30 MHz broad-beam riometer at Athabasca, Canada.","year":2017,"lang":"en","type":"dataset","venue":"Institutional Repositories DataBase (IRDB)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Riometer; Noise (video); Absorption (acoustics); COSMIC cancer database; Cosmic ray; Ionospheric absorption","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":[0.001103484,0.002310704,0.001604066,0.005836349,0.001645468,0.002714621,0.00348085,0.001381108,0.01606089],"category_scores_gemma":[0.006455444,0.0006852928,0.001083788,0.01695388,0.0007715711,0.001025883,0.001735788,0.001848928,0.01432412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01487381,"about_ca_system_score_gemma":0.02766604,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9389139,"about_ca_topic_score_gemma":0.9579618,"domain_scores_codex":[0.9987947,0.00006687949,0.00007789635,0.0002007628,0.0005508783,0.0003088362],"domain_scores_gemma":[0.9911264,0.0005602646,0.0004848344,0.001012516,0.006128244,0.0006878054],"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":[0.00006597224,0.00001404796,0.003201126,0.0002206739,0.00004528557,0.00002449573,0.00002596403,0.0006177467,0.0000553903,0.0005386184,0.9934863,0.001704362],"study_design_scores_gemma":[0.0001952251,0.00001447787,0.05255233,0.0004748478,0.00008306313,0.00008459153,0.000339218,0.00174497,0.0009350215,0.001109296,0.9423605,0.0001062623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002957725,0.00004795308,0.0000400645,0.00004951157,0.00001284017,0.00000558746,0.9988365,0.000166224,0.000545741],"genre_scores_gemma":[0.001252867,0.00008667812,0.0001102635,0.00002271198,0.000004587621,0.00001931735,0.9977421,0.00004219567,0.0007192913],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06108612,"threshold_uncertainty_score":0.1228917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03889715871554313,"score_gpt":0.2805321866190543,"score_spread":0.2416350279035111,"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."}}