{"id":"W3015617175","doi":"10.36227/techrxiv.12089139.v1","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":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Field (mathematics); Software development; Computer science; Software; Software engineering; Artificial intelligence; Operating system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001705094,0.0006562849,0.0005750413,0.0009631885,0.0004563994,0.002525005,0.0008399832,0.001078916,0.00151204],"category_scores_gemma":[0.007126636,0.000457433,0.0007105691,0.001319539,0.000955788,0.002120654,0.0008126124,0.001340181,0.000510596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005704712,"about_ca_system_score_gemma":0.001511427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002440771,"about_ca_topic_score_gemma":0.001656703,"domain_scores_codex":[0.9982713,0.0006345891,0.00009660546,0.0002368301,0.000659055,0.0001015461],"domain_scores_gemma":[0.9966779,0.00235842,0.0001775031,0.0004914585,0.0002471143,0.00004756931],"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":[0.0002469293,0.0003068316,0.003909712,0.0009540649,0.0001353468,0.0002788161,0.0008533184,0.1779339,0.02400483,0.1056132,0.004982207,0.6807808],"study_design_scores_gemma":[0.00009499457,0.000220246,0.00316146,0.0001525803,0.0001112414,0.0003689696,0.0001956235,0.6800271,0.03335398,0.2122874,0.0699707,0.00005575853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05382144,0.003156317,0.9159236,0.002004813,0.0002428827,0.0001182659,0.00005792589,0.002623659,0.02205112],"genre_scores_gemma":[0.4465055,0.003707898,0.5404971,0.0002624097,0.0001865621,0.00007563287,0.0002778847,0.0002814549,0.008205591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002525005,"threshold_uncertainty_score":0.009017527,"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."}}