{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007120032,0.0001363283,0.0001819036,0.00006484602,0.0000861287,0.00007994212,0.0003243553,0.0000711891,0.00003014861],"category_scores_gemma":[0.000001469561,0.0001207384,0.00009810468,0.0001049562,0.000008790475,0.0001321101,0.00001606795,0.0006220292,0.00009156451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004858968,"about_ca_system_score_gemma":0.0001765495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009305411,"about_ca_topic_score_gemma":0.0002928569,"domain_scores_codex":[0.9979668,0.00004149172,0.000260102,0.0001117506,0.0001222158,0.001497671],"domain_scores_gemma":[0.9995655,0.00004037286,0.00005003736,0.000231061,0.00006477924,0.00004829165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004972777,0.0003073474,0.04020706,0.000574512,0.004285474,0.000004505138,0.001710737,0.0161276,0.7136709,0.120023,0.007411323,0.09518027],"study_design_scores_gemma":[0.00899828,0.001920904,0.004205957,0.0001500596,0.00007655814,0.001942305,0.003377025,0.05344097,0.05257938,0.3151445,0.5557128,0.002451283],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8951247,0.00161473,0.0994651,0.0007211569,0.0002514125,0.0004141212,0.000006838061,0.0003400773,0.002061906],"genre_scores_gemma":[0.9964516,0.001189564,0.0001516857,0.00007090908,0.0001142923,0.00001577861,0.00001406362,0.00004898664,0.001943125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6610916,"threshold_uncertainty_score":0.4923568,"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."}}