{"id":"W4398934668","doi":"10.7910/dvn/tlahpx","title":"HF Data for: Characterization of High Latitude Radio Wave Propagation over Canada","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Characterization (materials science); High latitude; High frequency; Radio propagation; Latitude; Environmental science; Geography; Meteorology; Geology; Telecommunications; Computer science; Geophysics; Physics; Geodesy; Ionosphere; Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005078599,0.001551045,0.0009018682,0.00305102,0.001355804,0.001987885,0.00247304,0.0009097214,0.06045333],"category_scores_gemma":[0.003267111,0.0006258588,0.0008683818,0.009656025,0.0003753747,0.0009708992,0.001407094,0.001259057,0.03456973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00840222,"about_ca_system_score_gemma":0.01841505,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9329762,"about_ca_topic_score_gemma":0.9500086,"domain_scores_codex":[0.9993642,0.0000247748,0.00004693153,0.0001039444,0.0002732913,0.0001869072],"domain_scores_gemma":[0.9965752,0.0001712184,0.0001746077,0.0003449733,0.002417664,0.0003162512],"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":[0.00003695889,0.00001075909,0.001989892,0.0002263875,0.00002482661,0.00001653747,0.00003497726,0.0003263137,0.00008660902,0.0004594354,0.9946854,0.002101872],"study_design_scores_gemma":[0.0001522117,0.000008123015,0.03826569,0.0004092433,0.00004378126,0.00003865791,0.0002313417,0.000761312,0.0007246029,0.0006581642,0.9586376,0.00006923526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000107502,0.00001211754,0.00002484182,0.00001756208,0.000006258525,0.00000413688,0.9992425,0.00007966548,0.0005052657],"genre_scores_gemma":[0.0007532826,0.00003580485,0.0001690419,0.00001936791,0.000003340504,0.00002018459,0.9980561,0.00006332454,0.0008795875],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06702375,"threshold_uncertainty_score":0.2022365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03202433974518142,"score_gpt":0.2083222517884105,"score_spread":0.176297912043229,"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."}}