{"id":"W4382204135","doi":"10.1109/saci58269.2023.10158543","title":"A Combined Finite State Machine and PlantUML Approach to Machine Learning Applications","year":2023,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Finite-state machine; Computer science; State (computer science); Machine learning; Artificial intelligence; Algorithm","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":[0.001115029,0.0005296476,0.0005346442,0.000925641,0.0007043348,0.002390179,0.001861766,0.001267497,0.007840294],"category_scores_gemma":[0.003271354,0.0004183974,0.00106529,0.0007880597,0.001410926,0.002200642,0.001790383,0.00203765,0.001983253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322758,"about_ca_system_score_gemma":0.001493968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003590715,"about_ca_topic_score_gemma":0.004372692,"domain_scores_codex":[0.9989378,0.0003366226,0.00007209206,0.0002284026,0.0003537786,0.00007135675],"domain_scores_gemma":[0.9987875,0.0006727485,0.00007134526,0.0001926561,0.0002316943,0.00004412539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001116895,0.0001409836,0.001286914,0.0004316922,0.00006481521,0.0004002572,0.0004829645,0.3837073,0.006877559,0.4045012,0.005278037,0.1967165],"study_design_scores_gemma":[0.000009432208,0.00004045667,0.0001350707,0.00005109026,0.00001606365,0.00005123014,0.00002497455,0.8850451,0.002633542,0.09338451,0.01859362,0.00001493152],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002672566,0.0002609735,0.9885969,0.0004210298,0.00004780901,0.00005244952,0.0001191465,0.00204854,0.005780593],"genre_scores_gemma":[0.292619,0.0007995918,0.6927456,0.0004292447,0.0001238028,0.0005282528,0.0004873324,0.0003288597,0.01193831],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007840294,"threshold_uncertainty_score":0.02622843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759308229487164,"score_gpt":0.2350866858824603,"score_spread":0.2174936035875886,"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."}}