{"id":"W7144957044","doi":"","title":"CDF data of cosmic noise absorption measured with the 30 MHz broad-beam riometer at Kapuskasing, 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); COSMIC cancer database; Absorption (acoustics); Cosmic ray","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":[0.001293005,0.002494552,0.001910186,0.006459997,0.001687735,0.003220537,0.00371126,0.001583892,0.01949033],"category_scores_gemma":[0.007837766,0.0008100604,0.001290273,0.019836,0.0008102302,0.001219627,0.001906197,0.002140085,0.01944789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01539001,"about_ca_system_score_gemma":0.03014432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9182112,"about_ca_topic_score_gemma":0.9427776,"domain_scores_codex":[0.9985338,0.00008478681,0.0001016216,0.0002530738,0.0006574183,0.0003691474],"domain_scores_gemma":[0.9895811,0.0007396504,0.0005524252,0.001188167,0.007147285,0.0007913054],"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":[0.00007035112,0.00001432814,0.002634278,0.0002593503,0.00004283552,0.00002218692,0.00002450728,0.0005543273,0.00004859319,0.0006083176,0.994096,0.001624936],"study_design_scores_gemma":[0.0001890072,0.00001378196,0.0368658,0.0005118303,0.00007428641,0.00007172432,0.0002617846,0.001241332,0.0007966239,0.001150321,0.958733,0.00009042677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002075847,0.00004963812,0.00003775185,0.00004109517,0.00001297581,0.000005225955,0.9990152,0.0001426808,0.0004877475],"genre_scores_gemma":[0.000843966,0.00009290809,0.0001063238,0.00001947541,0.000004613841,0.00001944407,0.9982121,0.0000428255,0.0006582446],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08178878,"threshold_uncertainty_score":0.1645408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04133701001479507,"score_gpt":0.2854495627916301,"score_spread":0.2441125527768351,"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."}}