{"id":"W4408443882","doi":"10.54808/imcic2025.01.64","title":"Preliminary Flood Mapping Using Cloud Computing: Case of Port St Johns Local Municipality, South Africa","year":2025,"lang":"en","type":"article","venue":"Proceedings","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Flood myth; Port (circuit theory); Computer science; Meteorology; Geography; Regional science; Engineering; Archaeology; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006942092,0.00031066,0.0002316754,0.001360925,0.001967271,0.001700022,0.0006622517,0.0007715057,0.003437171],"category_scores_gemma":[0.00371301,0.0001940852,0.0002805863,0.003664635,0.0006217402,0.00154849,0.0008430463,0.0005567351,0.0002831862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002033726,"about_ca_system_score_gemma":0.001693636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.219357,"about_ca_topic_score_gemma":0.3066071,"domain_scores_codex":[0.9995333,0.0001852803,0.0000212835,0.00004156157,0.00008229011,0.0001361764],"domain_scores_gemma":[0.9983797,0.000864058,0.0001285838,0.0001321874,0.0003074135,0.0001880936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001708263,0.001644608,0.5117614,0.001461095,0.0002438077,0.04674448,0.06058162,0.1118785,0.01949353,0.02471161,0.02554946,0.1942216],"study_design_scores_gemma":[0.0001893041,0.0005446431,0.566987,0.0004177047,0.0002351212,0.003067446,0.1976427,0.1583419,0.007734155,0.006970318,0.05770258,0.0001671653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857149,0.00007617971,0.001338497,0.001335484,0.00001364131,0.0001071781,0.0008883598,0.00008226299,0.01044353],"genre_scores_gemma":[0.9948326,0.0001490415,0.002815017,0.00003127315,0.000006995099,0.00002431932,0.0002636392,0.00001528711,0.001861737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.219357,"threshold_uncertainty_score":0.4361604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05244689228013644,"score_gpt":0.3130274702508521,"score_spread":0.2605805779707157,"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."}}