{"id":"W7131118961","doi":"10.1109/icrai68431.2025.11396693","title":"Applied AI in Water Surface Robotics for Lake Sanitation and Sampling","year":2025,"lang":"","type":"article","venue":"","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Robotics; Software deployment; Automation; Sampling (signal processing); Robotic arm; Robot; Sanitation; Wireless sensor network","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":[0.0003705877,0.0005386421,0.0003321476,0.0004720267,0.0004624367,0.001066455,0.0007584604,0.0008817338,0.003997735],"category_scores_gemma":[0.0009539351,0.0002052428,0.0004417883,0.0006310597,0.001241404,0.001093807,0.0008327719,0.001133682,0.001212316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008005911,"about_ca_system_score_gemma":0.0008101599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002891571,"about_ca_topic_score_gemma":0.003054231,"domain_scores_codex":[0.9997079,0.0000521202,0.00001638,0.00009182078,0.0001025724,0.00002919967],"domain_scores_gemma":[0.9996339,0.0001524166,0.00002743438,0.00005430811,0.0001024945,0.00002942819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001107581,0.0001353446,0.002013827,0.0008768589,0.0001025197,0.0002525414,0.0004532481,0.182196,0.04924228,0.1534834,0.01083581,0.6002975],"study_design_scores_gemma":[0.00002527674,0.0002558953,0.002109324,0.0001378281,0.00004210406,0.000351039,0.0002215523,0.733687,0.0206978,0.1576155,0.08479135,0.00006532258],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02001972,0.005026089,0.9321219,0.00159433,0.0004376784,0.00006844835,0.00007510594,0.0008511191,0.03980559],"genre_scores_gemma":[0.5449129,0.006676405,0.4072077,0.0006998064,0.0003599371,0.0002104688,0.0002677999,0.0002345449,0.03943036],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003997735,"threshold_uncertainty_score":0.01337379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354501021413278,"score_gpt":0.2637315117419411,"score_spread":0.2501865015278084,"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."}}