{"id":"W4385367149","doi":"10.5220/0011887000003536","title":"Development of Unmanned Surface Vehicles System for Water Quality Inspection","year":2022,"lang":"en","type":"article","venue":"","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Unmanned surface vehicle; Computer science; Quality (philosophy); Environmental science; Marine engineering; Engineering; Physics","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":[0.0002533918,0.0003150126,0.0002269871,0.0003911369,0.0003207163,0.0004048613,0.0005859374,0.0004053457,0.002269659],"category_scores_gemma":[0.0001987915,0.0001120334,0.0002420645,0.0001755059,0.0001299567,0.0004916394,0.0004115153,0.0002711689,0.0007678281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000320672,"about_ca_system_score_gemma":0.001095088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004221076,"about_ca_topic_score_gemma":0.004115568,"domain_scores_codex":[0.9996682,0.00002629416,0.000007479577,0.00005754478,0.0001892382,0.0000512332],"domain_scores_gemma":[0.9997936,0.000009077401,0.00001370567,0.00001978491,0.0001385703,0.00002525584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002443827,0.0002689478,0.014761,0.000264568,0.00006365314,0.0004435521,0.000302432,0.01187236,0.5402338,0.005686791,0.01366389,0.4121947],"study_design_scores_gemma":[0.0001308706,0.002302546,0.03641167,0.00007127481,0.0001078866,0.0009939944,0.0004374176,0.2381233,0.5375316,0.001742296,0.1820529,0.00009425033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4007018,0.0009246295,0.5520213,0.0007924857,0.000541412,0.001012602,0.0009491362,0.007948097,0.03510855],"genre_scores_gemma":[0.7755629,0.0003116718,0.1962026,0.0002454694,0.000041343,0.0002353478,0.001254792,0.0001049965,0.02604089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004221076,"threshold_uncertainty_score":0.008393049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.053404895395479,"score_gpt":0.2783882662832799,"score_spread":0.2249833708878009,"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."}}