{"id":"W4405680069","doi":"10.2172/2483348","title":"Scale up, Field Testing, and Optimization of Nontoxic, Durable, Economical Coatings for Control of Invasive mussels at Hydropower Facilities (Final Report for CRADA 527)","year":2024,"lang":"en","type":"report","venue":"","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"EMD Inc. (Canada)","funders":"Pacific Northwest National Laboratory; Battelle; Water Power Technologies Office; Department of Science and Technology, Ministry of Science and Technology, India; U.S. Department of Energy","keywords":"Hydropower; Scale (ratio); Control (management); Field (mathematics); Environmental science; Process engineering; Waste management; Computer science; Engineering; Mathematics; Geography; Electrical engineering; Artificial intelligence","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":[0.001257372,0.000522678,0.0002284616,0.00049731,0.0005250949,0.0005613493,0.0004564369,0.0003982947,0.000802706],"category_scores_gemma":[0.000626076,0.0002350202,0.0005049803,0.0002357307,0.0003622565,0.0003590089,0.0004467035,0.0007393485,0.0002320844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009082642,"about_ca_system_score_gemma":0.001377381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01538791,"about_ca_topic_score_gemma":0.04309254,"domain_scores_codex":[0.9989367,0.00009337024,0.00006757511,0.0001194073,0.0006566025,0.000126334],"domain_scores_gemma":[0.9993399,0.00005014812,0.0001253425,0.00006955151,0.0003510325,0.00006396701],"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":[0.00005430368,0.0004327954,0.002187891,0.0001281026,0.00001510259,0.0001000633,0.00009016717,0.001141452,0.9790264,0.00007380386,0.0004896634,0.01626023],"study_design_scores_gemma":[0.00004797229,0.003581563,0.0115996,0.00001957779,0.00003352793,0.0001389055,0.0002042952,0.001673343,0.9767449,0.00002985342,0.005904837,0.00002162881],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9761407,0.0008653245,0.01445292,0.0003239123,0.00004075031,0.002009501,0.00078001,0.0002062259,0.005180678],"genre_scores_gemma":[0.9121246,0.001888733,0.07354932,0.0002104755,0.00001321989,0.0006661472,0.001817585,0.00007932176,0.009650429],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01538791,"threshold_uncertainty_score":0.03059673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03377432555989227,"score_gpt":0.2678706736635141,"score_spread":0.2340963481036219,"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."}}