{"id":"W7009377835","doi":"","title":"A DSP IMPLEMENTATION OF A SUBSCRIBER LOOP TESTER","year":2001,"lang":"en","type":"dissertation","venue":"University Library - University of Saskatchewan (University of Saskatchewan)","topic":"Engineering and Technology Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Digital subscriber line; Digital signal processing; Asymmetric digital subscriber line; Fault (geology); Software; Loop (graph theory); Local loop; Chip","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001068969,0.0005666809,0.001037478,0.001641544,0.0002476916,0.00001137772,0.001311433,0.0009448534,0.001787157],"category_scores_gemma":[0.000004107328,0.0009301553,0.0005042381,0.001824509,0.0004588071,0.001378214,0.0002238978,0.0007402143,0.00002935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001980797,"about_ca_system_score_gemma":0.0006467847,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008042692,"about_ca_topic_score_gemma":0.0146266,"domain_scores_codex":[0.9980446,0.00006421018,0.0003912451,0.0005595823,0.0004341781,0.0005061711],"domain_scores_gemma":[0.9980986,0.00009639814,0.0005842641,0.0007298415,0.0003019613,0.0001889098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.002453435,0.001591829,0.0297964,0.01009695,0.008772577,0.001970186,0.8258414,0.006634878,0.0458612,0.001204812,0.01953366,0.04624267],"study_design_scores_gemma":[0.002312581,0.0002076378,0.006410998,0.0004717978,0.0007421253,0.000009267157,0.9738446,0.0002639647,0.008185129,0.0002061243,0.006476999,0.0008687623],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887264,0.000191459,0.002150721,0.0001627977,0.0003112847,0.0004731719,0.001025608,0.000714654,0.006243916],"genre_scores_gemma":[0.9433572,0.0004964702,0.006566498,0.000007580441,0.00002804062,4.662994e-8,0.001743562,0.00008339793,0.04771717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1480032,"threshold_uncertainty_score":0.9993149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005101078009467886,"score_gpt":0.1686148521586737,"score_spread":0.1635137741492058,"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."}}