{"id":"W3016021510","doi":"10.36227/techrxiv.12095412.v1","title":"Automating Software Develpoment using Artificial Intelligence","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Software; Artificial intelligence; Software engineering; Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002144033,0.0003103011,0.0003761812,0.0001023911,0.0001298217,0.0002209929,0.0003416216,0.0002105953,0.0001084687],"category_scores_gemma":[0.0001457911,0.0002980971,0.00009644458,0.0001877721,0.00003808236,0.0001097784,0.0005185119,0.0008749208,0.00005340887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002693843,"about_ca_system_score_gemma":0.0001352968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001881784,"about_ca_topic_score_gemma":0.000002595031,"domain_scores_codex":[0.9981816,0.00003051473,0.0005869883,0.0003802112,0.000406572,0.000414143],"domain_scores_gemma":[0.9993474,0.00007166688,0.00007838761,0.0002322523,0.00009042351,0.0001798046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002503413,0.000007419765,0.00001679758,0.001882326,0.00005808619,0.00002153932,0.0002801132,0.8686985,0.004962038,0.001003492,0.00005329698,0.1230139],"study_design_scores_gemma":[0.00001244317,0.000008912761,0.000005431647,0.00062913,0.000009192519,0.00000642812,0.0001993864,0.9567025,0.01076661,0.03112268,0.0001495323,0.0003877249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005722165,0.0006193316,0.989817,0.00004413533,0.0009393203,0.0003008863,0.00001250937,0.001223581,0.001321134],"genre_scores_gemma":[0.7186913,0.00002210852,0.2804968,0.00002367392,0.0006287764,0.00002887746,0.00001247608,0.0000768427,0.00001912705],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7129692,"threshold_uncertainty_score":0.9999471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1488564448286654,"score_gpt":0.3462076152853601,"score_spread":0.1973511704566948,"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."}}