{"id":"W4388497404","doi":"10.1093/jcbiol/ruad067","title":"Refining age at legal-size estimation in the Newfoundland &amp; Labrador populations of the snow crab <i>Chionoecetes opilio</i> (Fabricius, 1788) (Decapoda: Brachyura: Oregoniidae)","year":2023,"lang":"en","type":"article","venue":"Journal of Crustacean Biology","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Fisheries and Oceans Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Snow; Moulting; Decapoda; Crustacean; Population; Fishery; Stock assessment; Ecology; Zoology; Geography; Demography; Fishing","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":[0.00156948,0.0001991556,0.0004138606,0.000143252,0.0003558201,0.00002490784,0.0006944027,0.0002533505,0.0007144292],"category_scores_gemma":[0.001221276,0.0001161521,0.0001805345,0.0008101116,0.0006220344,0.0002174819,0.0003275056,0.0005140782,0.0001289815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002431951,"about_ca_system_score_gemma":0.00004967711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004982507,"about_ca_topic_score_gemma":0.01503562,"domain_scores_codex":[0.997667,0.0006395809,0.0008262903,0.0002465473,0.0001863354,0.0004342899],"domain_scores_gemma":[0.9976709,0.001086706,0.0007598371,0.0003866356,0.0000323003,0.0000635666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001706237,0.0001126111,0.9601157,0.00001097542,0.00003242734,0.00002959576,0.00100659,0.007086052,0.008193399,0.002215764,0.01962309,0.001403184],"study_design_scores_gemma":[0.000756531,0.0002226824,0.9645905,0.00002490037,0.00004314183,0.0002426244,0.0002305033,0.000333026,0.0001153869,0.004133591,0.02915885,0.0001482456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915972,0.0001043178,0.00009703693,0.00580008,0.0007370461,0.0001738324,0.0000195673,0.0000169539,0.001453912],"genre_scores_gemma":[0.9967809,0.00006413769,0.0008596928,0.0007574513,0.0001194784,0.000005281667,0.00003346229,0.00001399651,0.001365572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01453737,"threshold_uncertainty_score":0.8390229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02817973742844695,"score_gpt":0.2837673619940362,"score_spread":0.2555876245655893,"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."}}