{"id":"W7043158565","doi":"","title":"RFI from digital TV and FM at Devon Island","year":2022,"lang":"en","type":"other","venue":"DSpace@MIT (Massachusetts Institute of Technology)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital television; Channel (broadcasting); Digital data; Digital radio; Terrestrial television; Identification (biology)","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":[0.0001645134,0.0003029806,0.0001526612,0.0006795942,0.000640461,0.0004475795,0.0003808583,0.0002862844,0.04014115],"category_scores_gemma":[0.0004477602,0.0001102505,0.0001085084,0.0003636346,0.0002227164,0.0001893939,0.0005856686,0.0004746586,0.009392115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007706837,"about_ca_system_score_gemma":0.0005288737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05149947,"about_ca_topic_score_gemma":0.1105873,"domain_scores_codex":[0.9997835,0.00001097742,0.000003178071,0.00004548439,0.00009150636,0.00006534759],"domain_scores_gemma":[0.999741,0.00003820828,0.0000090209,0.00003398249,0.0001183437,0.00005943152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001006297,0.0001433002,0.09445482,0.0003458826,0.00004215063,0.003010282,0.001797065,0.001923716,0.09977216,0.003513959,0.4226249,0.3713654],"study_design_scores_gemma":[0.00009220374,0.0001834747,0.2895494,0.0001402151,0.00002829044,0.0007820392,0.001046258,0.002913461,0.03859089,0.0004930973,0.6661085,0.00007206506],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1870451,0.0003133545,0.002113729,0.0007476236,0.0003839636,0.0001119754,0.01289807,0.001790414,0.7945957],"genre_scores_gemma":[0.6480317,0.0003214104,0.002778817,0.0004985753,0.0001891121,0.00006677783,0.02090982,0.000531311,0.3266726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9485005,"threshold_uncertainty_score":0.1342856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008699408635469627,"score_gpt":0.2215681132632015,"score_spread":0.2128687046277319,"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."}}