{"id":"W1959334226","doi":"10.1109/wescan.1988.27665","title":"Characteristics of the multi-party line system in rural Saskatchewan","year":2003,"lang":"en","type":"article","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Upgrade; Line (geometry); Division (mathematics); Computer science; Multiplexing; Noise (video); Telecommunications; Service (business); Time-division multiplexing; Artificial intelligence; Operating system; Mathematics; Business; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001004039,0.00005431602,0.00009465653,0.00002323416,0.0000151534,0.000004406693,0.0001478539,0.00002850914,0.00001785208],"category_scores_gemma":[0.00001816458,0.00003733663,0.00002797877,0.0001190535,0.00001347034,0.00002431619,0.00002147409,0.00008425261,0.000007588698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002655688,"about_ca_system_score_gemma":0.00001309553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004435591,"about_ca_topic_score_gemma":0.0002534186,"domain_scores_codex":[0.9996349,0.0000267056,0.0001889511,0.00003047015,0.00003795763,0.00008105568],"domain_scores_gemma":[0.9995558,0.0000203857,0.0000193851,0.0003700395,0.00001678508,0.00001759642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004372065,0.001715789,0.7098559,0.002377042,0.0003074919,0.00001380403,0.01510199,0.01714805,0.1480322,0.07088175,0.003400327,0.03112191],"study_design_scores_gemma":[0.002399831,0.00004152369,0.4645823,0.0006034703,0.00004792506,0.0000237957,0.008045247,0.4021274,0.08917546,0.00005465658,0.03216709,0.0007313201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906008,0.0001655906,0.002756478,0.00002345445,0.0002107871,0.0001075056,0.0000102331,0.00007618863,0.006049002],"genre_scores_gemma":[0.9975177,0.00001807563,0.002078548,0.000008123005,0.000006556746,0.000006254004,0.00000216575,0.0000083544,0.0003542359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3849793,"threshold_uncertainty_score":0.1522543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293835250778287,"score_gpt":0.2194110644100405,"score_spread":0.2064727119022576,"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."}}