{"id":"W6957971649","doi":"10.60692/ybn5c-s5t52","title":"The Global High Frequency Radar Network","year":2019,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Networks Canada Society","funders":"","keywords":"Radar; Hfr cell; Radar systems; Wave radar; Global network","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":[0.001708071,0.0009036642,0.0004616864,0.001933641,0.0008014116,0.002780725,0.001180559,0.001405049,0.1127715],"category_scores_gemma":[0.004252008,0.0001879484,0.0002478026,0.002816664,0.0003740609,0.002790929,0.002492559,0.001196701,0.1133502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008758352,"about_ca_system_score_gemma":0.003404893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003747782,"about_ca_topic_score_gemma":0.00195534,"domain_scores_codex":[0.998475,0.0003577163,0.00007747409,0.0002988592,0.0005654267,0.0002255116],"domain_scores_gemma":[0.9972342,0.0003422796,0.0002660193,0.0004608042,0.001237035,0.0004596626],"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":[0.00006019481,0.00002191251,0.001326123,0.0001615108,0.000008761815,0.00007498427,0.00003520044,0.0005113813,0.0005031091,0.01330232,0.8142868,0.1697077],"study_design_scores_gemma":[0.000009320522,0.00001229233,0.0007932287,0.00006326095,0.000002588677,0.0000591145,0.00002679764,0.0004676046,0.0001132674,0.00172148,0.9967239,0.000007018103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005667659,0.01039296,0.02575032,0.02154944,0.005634139,0.0005489293,0.08227681,0.007946456,0.8402333],"genre_scores_gemma":[0.08574064,0.02437152,0.04439552,0.01504222,0.005174117,0.001368307,0.3351058,0.003011213,0.4857907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1127715,"threshold_uncertainty_score":0.3772581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00806386574192786,"score_gpt":0.1576312003320137,"score_spread":0.1495673345900858,"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."}}