{"id":"W4389584820","doi":"10.17118/11143/20911","title":"Development of an artificial neural network model to predict thewindcatcher (Badgir) performance","year":2023,"lang":"en","type":"article","venue":"","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Artificial neural network; Computer science; Artificial intelligence","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":[0.0003698801,0.0005949807,0.0003816836,0.0003610066,0.0002858557,0.0005808622,0.0006119495,0.0009381995,0.001790861],"category_scores_gemma":[0.0006991532,0.0002765146,0.000432147,0.0002387044,0.0002253418,0.0005038463,0.0002954618,0.0006589295,0.0003853901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006235383,"about_ca_system_score_gemma":0.0006019601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01483668,"about_ca_topic_score_gemma":0.009488675,"domain_scores_codex":[0.9998931,0.0000191557,0.000007664701,0.00003621158,0.00002760449,0.00001621302],"domain_scores_gemma":[0.9997689,0.00008932984,0.0000308974,0.00001141619,0.00008989422,0.000009637884],"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":[0.00002154888,0.00002583347,0.001255719,0.00001794436,0.00001487859,0.00002329985,0.00000778326,0.9901906,0.001229789,0.0002150069,0.0001736573,0.006823829],"study_design_scores_gemma":[7.846808e-7,0.000007201545,0.0001938878,0.000001790239,0.000002071629,0.000001613402,9.016242e-7,0.9994969,0.0001993789,0.00004332869,0.0000506161,0.000001462636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4405436,0.0007855334,0.5439135,0.0004446323,0.0002066134,0.0001261639,0.0006190134,0.00106247,0.01229847],"genre_scores_gemma":[0.9814427,0.0001351985,0.01352001,0.00003660967,0.00001197327,0.00009753496,0.000248267,0.00001806047,0.0044895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01483668,"threshold_uncertainty_score":0.0295006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03234669641187059,"score_gpt":0.2581928122077057,"score_spread":0.2258461157958351,"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."}}