{"id":"W7084127741","doi":"10.64628/aam.mmvx6dupr","title":"Escaping the vicious circle of going paycheque to paycheque","year":2019,"lang":"en","type":"article","venue":"","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Virtuous circle and vicious circle; Perspective (graphical); Government (linguistics); Action (physics); Argument (complex analysis)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007105832,0.0001444894,0.0002623081,0.0000772534,0.00006643118,0.0001435879,0.001565042,0.00005990893,0.00004346745],"category_scores_gemma":[0.00008969184,0.0001055439,0.0001059895,0.0004889288,0.00001904924,0.0002943249,0.0003439237,0.0001201242,0.001185309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000678535,"about_ca_system_score_gemma":0.00007032944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002404393,"about_ca_topic_score_gemma":0.00004444666,"domain_scores_codex":[0.9983183,0.0001280252,0.0003969846,0.000406759,0.0003683596,0.0003815953],"domain_scores_gemma":[0.9981935,0.0002416917,0.000140981,0.001195793,0.000125858,0.000102179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004814578,0.0004225856,0.02431594,0.0003652461,0.0004073335,0.00004090858,0.01197345,0.01025229,0.3998855,0.3306911,0.0100554,0.2115421],"study_design_scores_gemma":[0.006444085,0.0009703578,0.1055273,0.0009791806,0.00006935225,0.0001373531,0.002781526,0.6695926,0.1418653,0.005441613,0.06345876,0.002732545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.114997,0.0001003188,0.8581903,0.002790877,0.000842427,0.0008542279,0.000005461682,0.0002323929,0.02198704],"genre_scores_gemma":[0.9948367,0.000001744027,0.003314577,0.000982868,0.00005232574,0.00002767855,0.000001338644,0.00001113637,0.0007715879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8798398,"threshold_uncertainty_score":0.9995924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005697511983400177,"score_gpt":0.2090739561241306,"score_spread":0.2033764441407304,"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."}}