{"id":"W4402396808","doi":"10.24908/iqurcp18052","title":"Biomimetic Soft Robotic Jellyfish for Lentic Ecosystem Monitoring","year":2024,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Marine Invertebrate Physiology and Ecology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Jellyfish; Lake ecosystem; Ecosystem; Environmental science; Ecology; Aquatic ecosystem; Fishery; Environmental resource management; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001825569,0.0003568674,0.0002490088,0.0003777513,0.0001567082,0.0003406589,0.0005059246,0.0005252626,0.001498089],"category_scores_gemma":[0.00033734,0.000154246,0.0003549584,0.0001582107,0.0002401915,0.00064372,0.0005270231,0.0003223179,0.0003790838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002616677,"about_ca_system_score_gemma":0.0002736147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007223248,"about_ca_topic_score_gemma":0.001382593,"domain_scores_codex":[0.9998589,0.00001067995,0.000009875895,0.00003343184,0.00006736667,0.00001980388],"domain_scores_gemma":[0.9997913,0.00002869059,0.00006685257,0.00002351089,0.0000446235,0.00004503516],"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":[0.00007125653,0.00004433352,0.00194631,0.0002859761,0.0000168661,0.0002057158,0.00005680984,0.001472832,0.9566567,0.0003180536,0.0003845978,0.03854048],"study_design_scores_gemma":[0.00006209419,0.002084754,0.02472185,0.0001305047,0.0001079365,0.001163401,0.0002854465,0.0594621,0.8862866,0.000763429,0.02480273,0.0001289989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8726191,0.003413473,0.1135516,0.000610919,0.0002991428,0.0002674309,0.0003717685,0.001605383,0.007261101],"genre_scores_gemma":[0.9400502,0.00096477,0.05147727,0.0002109927,0.00002391094,0.0001318216,0.0001262322,0.00005050027,0.006964227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001498089,"threshold_uncertainty_score":0.005011678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1065286959037571,"score_gpt":0.3447255865114997,"score_spread":0.2381968906077426,"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."}}