{"id":"W3099096540","doi":"10.1093/icesjms/fsaa164","title":"Size-at-maturity shift in a male-only fishery: factors affecting molt-type outcomes in Newfoundland and Labrador snow crab (<i>Chionoecetes opilio</i>)","year":2020,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Intraspecific competition; Fishery; Biology; Snow; Population; Crustacean; Stock assessment; Ecology; Fishing; Geography; Demography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000908261,0.0001530446,0.0003331609,0.0001076514,0.0001576874,0.00006005814,0.0004894219,0.0000773466,0.001195826],"category_scores_gemma":[0.001415703,0.0001163148,0.00004168681,0.0006465637,0.0005879565,0.0007219407,0.0008878844,0.0003877499,0.00001822774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002241208,"about_ca_system_score_gemma":0.00005640186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001011671,"about_ca_topic_score_gemma":0.02625512,"domain_scores_codex":[0.9985843,0.00009874719,0.0003712414,0.0003172352,0.0002522331,0.0003762099],"domain_scores_gemma":[0.9989081,0.0005158357,0.0002558776,0.0001062496,0.00001311163,0.0002008334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008716588,0.00006251903,0.9956869,0.00000858929,0.000003958605,0.00006191511,0.001288514,0.0001928984,0.001247372,0.000006893118,0.0000354628,0.001317812],"study_design_scores_gemma":[0.0005787836,0.0002992176,0.997801,0.00001316564,0.000005402067,0.0001293354,0.0003956917,0.0001782946,0.00007562625,0.000251149,0.000144501,0.0001278497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968575,0.00003291459,0.000001806387,0.001793673,0.0002211331,0.0001019071,0.000002223528,0.00000737605,0.0009814525],"genre_scores_gemma":[0.9988,0.00005106529,0.0005341152,0.0004995207,0.00002717076,3.217529e-7,5.507119e-7,0.000005135271,0.000082156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02524344,"threshold_uncertainty_score":0.9997172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210914383738494,"score_gpt":0.2423542846167216,"score_spread":0.2302451407793366,"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."}}