{"id":"W4385070961","doi":"10.1002/cjce.25047","title":"Comparative study of artificial intelligence based multi‐modelling approach and optimization of photoreactor","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genetic programming; Artificial neural network; Predictability; Genetic algorithm; Biological system; Computer science; Response surface methodology; Artificial intelligence; Machine learning; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00113229,0.0008795765,0.0006601854,0.000661138,0.0003008099,0.0009610777,0.0007018683,0.0008755266,0.0007702351],"category_scores_gemma":[0.00137246,0.0003282274,0.0009222786,0.0005303657,0.0003119227,0.0004808386,0.0003905406,0.0005564277,0.0001078172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008515859,"about_ca_system_score_gemma":0.0006863117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007561212,"about_ca_topic_score_gemma":0.003932276,"domain_scores_codex":[0.9996476,0.0001703454,0.00001692371,0.00004469208,0.00008493182,0.00003549312],"domain_scores_gemma":[0.9994422,0.0003630946,0.00005681185,0.00003527205,0.00008703988,0.00001550579],"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":[0.00002754345,0.00003053225,0.0004175359,0.0000362858,0.00002300227,0.00002216715,0.00001545039,0.990175,0.001382114,0.0005995294,0.00004557221,0.007225217],"study_design_scores_gemma":[0.00000255212,0.00003489335,0.0001578933,0.000003356759,0.000007470457,0.000003995705,0.000006142968,0.9988255,0.0006397836,0.0001909679,0.0001244008,0.000003022906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5343851,0.001134328,0.4457477,0.0004586187,0.00006279712,0.0001835897,0.0001664284,0.0004830757,0.01737836],"genre_scores_gemma":[0.9493775,0.000266993,0.04883978,0.00003252141,0.000007143632,0.0001026102,0.00008991712,0.00003465969,0.00124905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007561212,"threshold_uncertainty_score":0.01503438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05005716569076078,"score_gpt":0.2482830851361854,"score_spread":0.1982259194454246,"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."}}