{"id":"W4410309525","doi":"10.18280/i2m.240209","title":"Integrating Internet of Things for Smart Hydroponics to Increase Productivity","year":2025,"lang":"fr","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydroponics; Productivity; Internet of Things; The Internet; Computer science; Business; Internet privacy; World Wide Web; Horticulture; Economics; Biology; Economic growth","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":[0.0002214255,0.0003524242,0.0001488104,0.0003583948,0.0001934462,0.000537456,0.0004324031,0.0004748455,0.002230642],"category_scores_gemma":[0.000242071,0.0001122065,0.000266802,0.0003691187,0.0001461537,0.0009610471,0.0005860365,0.0002882693,0.0007983791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001996935,"about_ca_system_score_gemma":0.0002574079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003999365,"about_ca_topic_score_gemma":0.0007010043,"domain_scores_codex":[0.9998215,0.00002458359,0.00001021292,0.00003447575,0.00008605626,0.00002314521],"domain_scores_gemma":[0.9998616,0.00002422167,0.00001890243,0.00002377238,0.0000573465,0.0000140848],"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":[0.0001652563,0.0002830409,0.005319913,0.0006375891,0.00007456056,0.0005216519,0.000157309,0.008004783,0.4392572,0.01201862,0.007005008,0.526555],"study_design_scores_gemma":[0.000119424,0.001468426,0.01556608,0.0002589124,0.0002178486,0.001222868,0.0004912886,0.1389631,0.4756266,0.02233038,0.3436207,0.0001143616],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1730787,0.003573148,0.7619221,0.002207696,0.0009521749,0.0004061689,0.0006012667,0.003793059,0.05346565],"genre_scores_gemma":[0.6585951,0.003430799,0.3114755,0.0009214677,0.0001770425,0.0002828272,0.0009444674,0.000290777,0.02388203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002230642,"threshold_uncertainty_score":0.007462263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0279656034956778,"score_gpt":0.3103736533149761,"score_spread":0.2824080498192983,"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."}}