{"id":"W4406142280","doi":"10.1016/j.rineng.2024.103864","title":"Evaluating climatic warming and the modulating effects of surface water and regional variables in western Bangladesh","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"NED University of Engineering and Technology; University of Calgary","keywords":"Environmental science; Climate change; Climatology; Surface water; Global warming; Physical geography; Geography; Ecology; Geology; Biology; Environmental engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003867206,0.00026299,0.0002253119,0.0007645626,0.0002993371,0.0006404762,0.000181685,0.0002259633,0.0009408587],"category_scores_gemma":[0.0007194335,0.0001473226,0.0002757138,0.00202783,0.0003037167,0.0003829789,0.000428776,0.0002200461,0.0002099021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008537682,"about_ca_system_score_gemma":0.0003644556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0602468,"about_ca_topic_score_gemma":0.1039738,"domain_scores_codex":[0.9998005,0.00006190773,0.0000248715,0.00004478843,0.00002499305,0.00004285995],"domain_scores_gemma":[0.9996592,0.00008005994,0.0001119807,0.00002369941,0.0000757498,0.00004923768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000789361,0.00001765931,0.9918291,0.00003149801,0.00006099261,0.0001742433,0.0005211611,0.0007649728,0.001994398,0.0000706578,0.0001168027,0.004339415],"study_design_scores_gemma":[0.000001307422,0.00002290958,0.9980573,0.000004415447,0.00001311419,0.00003262119,0.0009887236,0.0005508753,0.00009639878,0.00001994421,0.0002082166,0.000004172423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984936,0.0001119488,0.00009857139,0.00003150552,0.000001318295,0.000006088455,0.0005648814,0.000003884723,0.0006882764],"genre_scores_gemma":[0.9994425,0.00007128217,0.00005831714,0.000006567339,0.000001440486,0.00000920872,0.0002898764,9.99855e-7,0.0001198149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0602468,"threshold_uncertainty_score":0.1197922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02425410891183608,"score_gpt":0.2618157632686295,"score_spread":0.2375616543567934,"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."}}