{"id":"W2939713472","doi":"10.3389/fmars.2019.00164","title":"The Global High Frequency Radar Network","year":2019,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":174,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Networks Canada Society; Dillon Consulting","funders":"National Oceanic and Atmospheric Administration","keywords":"Hfr cell; Radar; Meteorology; Radar systems; Globe; Geography; Telecommunications; Remote sensing; Environmental science; Computer science","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":[0.001807828,0.000738273,0.0004005532,0.001700159,0.0006656008,0.002102664,0.0009808008,0.001105886,0.08260385],"category_scores_gemma":[0.004063436,0.0001528708,0.0001984896,0.002575025,0.0003114019,0.002075049,0.002050722,0.0009506698,0.07055826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007922563,"about_ca_system_score_gemma":0.003579002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00413036,"about_ca_topic_score_gemma":0.002096083,"domain_scores_codex":[0.9987084,0.0003374644,0.00006101965,0.0002448109,0.0004537349,0.0001945487],"domain_scores_gemma":[0.9970908,0.0003778861,0.0002758622,0.0004802334,0.001293809,0.0004813205],"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":[0.00008104089,0.0000247133,0.001957772,0.0001567167,0.00001054168,0.00007507319,0.00003772444,0.0006403317,0.0006336147,0.01522574,0.7814132,0.1997435],"study_design_scores_gemma":[0.00001221312,0.00001432126,0.001232202,0.00005287122,0.000002820883,0.0000525493,0.00002524895,0.000538962,0.0001308761,0.00170339,0.9962279,0.000006546502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.008549468,0.009697979,0.02981802,0.024476,0.005298302,0.0005666108,0.09973823,0.007097656,0.8147576],"genre_scores_gemma":[0.1153586,0.02149666,0.05471802,0.01350719,0.004564947,0.00138062,0.3741906,0.002603481,0.4121799],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.08260385,"threshold_uncertainty_score":0.2763374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002478159115608183,"score_gpt":0.1725018099894876,"score_spread":0.1700236508738795,"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."}}