{"id":"W4400276002","doi":"10.1109/mssc.2024.3375799","title":"T. R. Viswanathan (1937–2023) [Society News]","year":2024,"lang":"en","type":"article","venue":"IEEE Solid-State Circuits Magazine","topic":"Unemployment and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":["insufficient_payload"],"category_scores_codex":[0.0005692808,0.0004169226,0.0006724767,0.0003479987,0.0001580734,0.0004667535,0.0004529892,0.0001750929,0.001719486],"category_scores_gemma":[0.00002814415,0.0004976704,0.0004999997,0.000623557,0.0001178309,0.0006758521,0.00007965512,0.0003931199,0.02469449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000291836,"about_ca_system_score_gemma":0.00006514764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001407754,"about_ca_topic_score_gemma":0.00009608268,"domain_scores_codex":[0.9969949,0.00001478174,0.001027769,0.001031957,0.0000737336,0.0008568907],"domain_scores_gemma":[0.9988412,0.00007306876,0.0002137499,0.0005740708,0.00003639588,0.0002615704],"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":[0.00002880058,0.0004693444,0.02404229,0.0008602851,0.001650488,0.0003017556,0.006152434,0.001031029,0.00633576,0.1108375,0.8167264,0.03156386],"study_design_scores_gemma":[0.001143786,0.0001691238,0.006555101,0.0001003786,0.00004311784,0.0000390844,0.00008967696,0.01232892,0.001088115,0.06356859,0.913572,0.001302113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6203272,0.01004444,0.009589527,0.003689597,0.01161024,0.0008735897,0.001420458,0.001078004,0.341367],"genre_scores_gemma":[0.9493794,0.001199861,0.00008044828,0.001009049,0.0007558976,0.00004944783,0.00008317184,0.0001337288,0.04730899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3290522,"threshold_uncertainty_score":0.9997475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03480321124316268,"score_gpt":0.243992580705492,"score_spread":0.2091893694623293,"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."}}