{"id":"W4399855233","doi":"10.18280/isi.290328","title":"Water Quality Monitoring and Control System for Fish Farmers Based on Internet of Things","year":2024,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Riau","keywords":"Internet of Things; Fish <Actinopterygii>; Control (management); Quality (philosophy); Business; The Internet; Water quality; Monitoring and control; Computer science; Internet privacy; Fishery; World Wide Web; Engineering; Ecology; Biology; Artificial intelligence","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":[0.0003242989,0.0003613289,0.0003250015,0.0004252927,0.0003548928,0.000392652,0.0006042758,0.0002947775,0.001189034],"category_scores_gemma":[0.0003726555,0.0001525888,0.0002985644,0.0002326793,0.0001298472,0.0004637219,0.0003604055,0.0001699238,0.0002377418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000234312,"about_ca_system_score_gemma":0.0003582769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001404891,"about_ca_topic_score_gemma":0.002208057,"domain_scores_codex":[0.9997768,0.00003095105,0.00001959689,0.00005164965,0.00009598578,0.00002511398],"domain_scores_gemma":[0.9997967,0.00003729331,0.00003124248,0.00002368135,0.00009452027,0.00001661892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001580505,0.001180447,0.06816261,0.0009431056,0.0003057366,0.002419437,0.001132517,0.05584667,0.4233344,0.005510104,0.01546864,0.4241158],"study_design_scores_gemma":[0.000384138,0.002575121,0.06405317,0.0001568783,0.0004341221,0.001372806,0.0009423601,0.7280679,0.1694402,0.003107397,0.02928399,0.000181838],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4909492,0.0004551901,0.4749874,0.0006190228,0.0002870466,0.001188138,0.000607822,0.008991131,0.02191499],"genre_scores_gemma":[0.9661081,0.0001338967,0.02996443,0.00009950241,0.00001618311,0.000286619,0.0002438236,0.00002791944,0.003119378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001404891,"threshold_uncertainty_score":0.003977656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060279444767567,"score_gpt":0.2510684029823743,"score_spread":0.2304656085346986,"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."}}