{"id":"W4252711339","doi":"10.36227/techrxiv.12089139","title":"Automating Software Development using Artificial Intelligence","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Software engineering; Software development; Development (topology); Artificial intelligence; Software; Programming language; Mathematics","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":[0.0005486838,0.000348972,0.0004282602,0.000110773,0.0002567738,0.0004104303,0.001707421,0.0002921157,0.0000234655],"category_scores_gemma":[0.0002017763,0.0003006218,0.0001410246,0.0003376107,0.00004400594,0.0002561584,0.003702329,0.0005782724,0.0002518706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002534256,"about_ca_system_score_gemma":0.001088036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005719072,"about_ca_topic_score_gemma":0.000007971809,"domain_scores_codex":[0.9971542,0.00007600542,0.0008854918,0.0009724658,0.0005274084,0.0003844523],"domain_scores_gemma":[0.9983396,0.0001019319,0.0003017179,0.0009241141,0.0001735344,0.0001590891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006686261,0.0001312452,0.004350267,0.002018438,0.0001240669,0.00004324585,0.006740185,0.02179232,0.0001538998,0.01306463,0.0001645224,0.9514105],"study_design_scores_gemma":[0.00003030969,0.00002880135,0.00163831,0.0006374017,0.00001421899,0.00002087853,0.00009850838,0.9430118,0.01376717,0.03949317,0.0002960854,0.0009633976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04077014,0.00008111514,0.954799,0.0003110312,0.0018925,0.0003915073,0.000001461958,0.001545368,0.0002078867],"genre_scores_gemma":[0.3540765,0.000002473204,0.6455517,0.0001517271,0.0001650117,0.00002358407,0.000005513132,0.00001223482,0.00001130218],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9504471,"threshold_uncertainty_score":0.9999446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1051997259551537,"score_gpt":0.312988915841729,"score_spread":0.2077891898865752,"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."}}