{"id":"W1986249894","doi":"10.2960/j.v27.a4","title":"Influence of Particulate Organic Carbon Sedimentation within the Seasonal Sea-ice Regime on the Catch Distribution of Northern Shrimp (<i>Pandalus borealis</i>)","year":2000,"lang":"en","type":"article","venue":"Journal of Northwest Atlantic Fishery Science","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Shrimp; Sedimentation; Oceanography; Environmental science; Particulate organic carbon; Fishery; Particulates; Geology; Ecology; Sediment; Biology; Geomorphology; Phytoplankton","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005963089,0.0005608471,0.0003507329,0.0002972279,0.0002790417,0.0007947407,0.0002281183,0.0002459074,0.0002834444],"category_scores_gemma":[0.001545357,0.0002619025,0.0005461638,0.0001954858,0.0002882718,0.0002694489,0.0002796231,0.0001638602,0.00008774549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009259657,"about_ca_system_score_gemma":0.0005946372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07490975,"about_ca_topic_score_gemma":0.04002475,"domain_scores_codex":[0.9998447,0.0000503991,0.00001471365,0.00004346841,0.0000156334,0.00003114797],"domain_scores_gemma":[0.9994405,0.0002467814,0.0001464842,0.00003608628,0.00005644711,0.00007373643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008336047,0.000137056,0.6507807,0.00003522238,0.0003625815,0.0002687499,0.0001068077,0.3166876,0.01960019,0.0001689704,0.0001495884,0.0108688],"study_design_scores_gemma":[0.00007580056,0.0006100213,0.3984386,0.00001233416,0.000214141,0.00016187,0.0001834539,0.5936223,0.00626396,0.000152152,0.0002284985,0.00003686397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995213,0.00001044027,0.0003344193,0.000007643226,8.374958e-7,0.000001641184,0.0000278375,0.00001236208,0.00008364423],"genre_scores_gemma":[0.9995527,0.00001375597,0.0002681935,0.00000299371,7.289215e-7,0.000002085952,0.00008474448,0.000003907901,0.00007087044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07490975,"threshold_uncertainty_score":0.1489474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317967577307972,"score_gpt":0.2130334019054329,"score_spread":0.1998537261323532,"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."}}