{"id":"W3172197679","doi":"10.2139/ssrn.3508654","title":"Electromated Fish for Underwater Surveillance","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"SAIT Polytechnic","funders":"","keywords":"Fish <Actinopterygii>; Underwater; Fishery; Environmental science; Oceanography; Biology; Geology","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":[0.0000926411,0.0002108849,0.0001472728,0.0002230939,0.0002114529,0.0002812492,0.0003787852,0.0003618047,0.004506039],"category_scores_gemma":[0.0001180266,0.00007244628,0.0001161795,0.0001839466,0.0002245722,0.0003678263,0.0006446384,0.0002369907,0.0008917286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002102302,"about_ca_system_score_gemma":0.0002289267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009607404,"about_ca_topic_score_gemma":0.002379109,"domain_scores_codex":[0.9999474,0.000008251312,0.000001390425,0.00001215723,0.00002374073,0.000007012033],"domain_scores_gemma":[0.9999462,0.00001130087,0.000006139945,0.000008461141,0.00002082814,0.000006964959],"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":[0.000321645,0.00008130018,0.005586989,0.0002437148,0.00004514579,0.0005726554,0.0002131218,0.01119701,0.5530313,0.01858752,0.005886802,0.4042327],"study_design_scores_gemma":[0.0001505273,0.003263036,0.03505452,0.0003086169,0.000255287,0.003290743,0.001439175,0.392092,0.28515,0.0191581,0.2596698,0.0001682202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3960206,0.004474667,0.4856611,0.001084946,0.0008383195,0.0002183047,0.0004991585,0.001225278,0.1099776],"genre_scores_gemma":[0.8637535,0.001127527,0.07485467,0.0002067142,0.00006239909,0.00006862159,0.000214297,0.00004356732,0.05966882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004506039,"threshold_uncertainty_score":0.01507425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006544272441270663,"score_gpt":0.2027512416952321,"score_spread":0.1962069692539615,"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."}}