{"id":"W1993757248","doi":"10.1109/ccece.2012.6334985","title":"Experimental validation of ITU method for terrestrial line-of-sight links design","year":2012,"lang":"en","type":"article","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Computer science; Fading; Broadband; Statistics; Telecommunications; Mathematics","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":[0.00237203,0.0007119723,0.0002514425,0.000901032,0.000652226,0.0006299528,0.001113901,0.0007918012,0.004181887],"category_scores_gemma":[0.004288501,0.0001701978,0.0002240813,0.0009994026,0.0004774343,0.000379716,0.0004374922,0.0004105052,0.001562994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001270063,"about_ca_system_score_gemma":0.0006639374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01431945,"about_ca_topic_score_gemma":0.01970374,"domain_scores_codex":[0.9973913,0.0006309799,0.0001327533,0.0002746044,0.001350444,0.0002197579],"domain_scores_gemma":[0.9952023,0.001000066,0.0003312921,0.0006436483,0.002739144,0.0000836551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001480177,0.0009095802,0.03496403,0.0009012632,0.0001470138,0.0006207215,0.001240372,0.1378247,0.6456023,0.005071518,0.008076379,0.163162],"study_design_scores_gemma":[0.0001328854,0.002708036,0.02778156,0.0001201861,0.0001478256,0.0003943219,0.0005846018,0.180173,0.7672794,0.0008914701,0.01963402,0.0001528036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6261113,0.000665273,0.3431675,0.0002393505,0.0003143776,0.0007849638,0.004678825,0.002968561,0.02106986],"genre_scores_gemma":[0.9199392,0.0003107445,0.07243002,0.00006495173,0.00002292256,0.0004550049,0.001614553,0.0001854937,0.004977133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01431945,"threshold_uncertainty_score":0.02847219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0807725652254917,"score_gpt":0.3450390543624858,"score_spread":0.2642664891369941,"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."}}