{"id":"W3154899809","doi":"10.1016/j.fishres.2021.105968","title":"Investigating the performance of a roller footgear in the offshore shrimp fishery of Eastern Canada using underwater video","year":2021,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Fisheries and Oceans Canada; Ocean Frontier Institute","keywords":"Fishery; Seabed; Shrimp; Oceanography; Trawling; Submarine pipeline; Bottom trawling; Benthic zone; Underwater; Marine engineering; Environmental science; Geology; Fishing; Engineering; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001018239,0.00007647569,0.0001387693,0.00002411386,0.0002818766,0.0000211701,0.0003995028,0.00003578152,0.0007511816],"category_scores_gemma":[0.0001960503,0.00004713016,0.00002312147,0.000519636,0.0007872273,0.0001343178,0.0007037074,0.0002686919,0.000004297993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001379262,"about_ca_system_score_gemma":0.0001388312,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1003485,"about_ca_topic_score_gemma":0.7084553,"domain_scores_codex":[0.9983585,0.0003516164,0.0002213508,0.0001739305,0.0005724432,0.0003221752],"domain_scores_gemma":[0.9992945,0.0003061962,0.00005128102,0.0002918291,0.00003545356,0.00002077822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001116159,0.00002022731,0.9671043,0.00007142804,0.00001875724,0.000009508184,0.002616031,0.000808568,0.000348052,0.0000132041,0.02878125,0.0001975017],"study_design_scores_gemma":[0.0001599497,0.00006198877,0.9749959,0.00003710747,0.000006002346,0.000003004918,0.008491868,0.003653663,0.001491385,0.0001194898,0.01091122,0.00006848741],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795849,0.000026973,0.000001664538,0.004728471,0.0000536129,0.0001817172,0.000003195468,0.000002142934,0.01541728],"genre_scores_gemma":[0.9980218,0.00003933329,0.0001050067,0.0005373435,0.00001974722,0.00002439843,0.000002377757,0.000006269022,0.001243658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6081068,"threshold_uncertainty_score":0.9056423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06862442354571863,"score_gpt":0.2844959244209608,"score_spread":0.2158715008752422,"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."}}