{"id":"W2614373762","doi":"10.1016/j.aaf.2017.05.001","title":"Artificial lights improve the catchability of snow crab ( Chionoecetes opilio ) traps","year":2017,"lang":"en","type":"article","venue":"Aquaculture and Fisheries","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"","keywords":"Snow; Fishery; Environmental science; Catch per unit effort; Fishing; Biology; Geography; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001830179,0.0001293636,0.0001852846,0.00000550739,0.0006506125,0.00006540259,0.0003217914,0.0001549179,0.0004189299],"category_scores_gemma":[0.00008375034,0.00007134728,0.00006265091,0.00002800275,0.001668855,0.0002087907,0.0001474516,0.000134839,0.00002535384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001321891,"about_ca_system_score_gemma":0.000006164661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005657083,"about_ca_topic_score_gemma":0.006571527,"domain_scores_codex":[0.999239,0.00003920746,0.0001866555,0.0002615924,0.0000830455,0.0001904426],"domain_scores_gemma":[0.9993681,0.00004761194,0.0001381133,0.0003880996,0.00001097357,0.00004708122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004422665,0.0001259547,0.9075927,0.0000105718,0.00001675609,0.000002148409,0.001639209,1.820392e-7,0.06616309,0.0003555238,0.004083348,0.01996632],"study_design_scores_gemma":[0.00008577364,0.0001719333,0.9590207,0.000003105265,0.00002633919,0.000004335208,0.0004945432,0.000005343453,0.02011813,0.002907166,0.01705393,0.0001087554],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989663,0.00003650755,0.000002413804,0.004340302,0.0002349692,0.0001922219,0.00002745082,0.00001415018,0.005488974],"genre_scores_gemma":[0.9987327,0.00003524302,0.0000888229,0.0001800691,0.00008642617,0.00002277516,0.000006281499,0.000004679071,0.0008429769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05142797,"threshold_uncertainty_score":0.6148965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01762511233334466,"score_gpt":0.2401054202959834,"score_spread":0.2224803079626387,"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."}}