{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001304599,0.0007460937,0.0004982948,0.001457017,0.0004607912,0.001134706,0.0007109925,0.0005534545,0.0009919821],"category_scores_gemma":[0.005310709,0.0004464739,0.0005784841,0.0008401205,0.0004373039,0.001073043,0.0008442401,0.001043576,0.0004735939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005777797,"about_ca_system_score_gemma":0.001051866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003162537,"about_ca_topic_score_gemma":0.004016444,"domain_scores_codex":[0.9986504,0.0003848632,0.0001135844,0.0002482974,0.0005162337,0.00008670038],"domain_scores_gemma":[0.9975752,0.001325213,0.0002233404,0.0003906834,0.0004273119,0.00005823167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001824415,0.0002443503,0.004627172,0.0005335504,0.00007702872,0.0004208829,0.0004291935,0.1587417,0.06837665,0.009510081,0.00311901,0.7537379],"study_design_scores_gemma":[0.00003169662,0.0001347531,0.00312099,0.00006329801,0.00005756131,0.0002241724,0.0001632699,0.8947665,0.07159276,0.01633094,0.01347311,0.00004092735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08887054,0.0004506721,0.9002147,0.0003135572,0.0000547804,0.0002011118,0.0001626472,0.005411117,0.004320729],"genre_scores_gemma":[0.3773357,0.0006985803,0.6174356,0.00007676681,0.00002193792,0.0001968455,0.0008824687,0.0003357552,0.0030163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003162537,"threshold_uncertainty_score":0.006899476,"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."}}