{"id":"W2127397791","doi":"10.5539/cis.v4n3p60","title":"Comprehensive Evaluation System and Selection Method of Tax Software","year":2011,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Cognitive and psychological constructs research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Anhui Province","keywords":"Computer science; Software; Work (physics); Selection (genetic algorithm); Service (business); Operator (biology); Factor (programming language); Quality (philosophy); Operations research; Industrial engineering; Artificial intelligence; Operating system; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000847526,0.00005231776,0.00008613442,0.0002160265,0.0001253842,0.00004107079,0.00008988984,0.00003400887,0.0001207494],"category_scores_gemma":[0.0000354941,0.00004178477,0.00001117955,0.0004217139,0.0002688135,0.001065677,0.00006539179,0.00006392685,0.00001885612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001307257,"about_ca_system_score_gemma":0.0000336824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003575391,"about_ca_topic_score_gemma":3.261808e-7,"domain_scores_codex":[0.9992158,0.0001045195,0.0001870302,0.0001273245,0.0002500969,0.0001152413],"domain_scores_gemma":[0.9989405,0.00008393459,0.00008667354,0.00006786403,0.0007617341,0.00005932717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003097255,0.000009028637,0.003625536,0.0000398771,0.00000693817,1.702762e-7,0.004180868,0.0000019125,0.0001535029,0.0132177,0.00009174481,0.9786417],"study_design_scores_gemma":[0.0007155041,0.0003591929,0.9661079,0.00003539638,0.00001194323,0.0001539731,0.001632408,0.02818159,0.0005940987,0.0004514804,0.001645157,0.0001113628],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3454685,0.00006331328,0.6269418,0.00001156329,0.000233562,0.0002957419,0.000006922006,0.00002859538,0.02695],"genre_scores_gemma":[0.9705883,0.00000725122,0.02923434,0.0001332135,0.00001566216,0.00001034889,0.000002064068,0.000001031825,0.000007796687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9785304,"threshold_uncertainty_score":0.1703933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1349523789173306,"score_gpt":0.4114601637688008,"score_spread":0.2765077848514702,"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."}}