{"id":"W4407573130","doi":"10.1139/cjfas-2024-0223","title":"Estimating moult timing in lobsters: A Bayesian Approach","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bayesian probability; Fishery; Moulting; Ecology; Environmental science; Biology; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006421519,0.00057806,0.001103044,0.002804117,0.0008194525,0.002076841,0.002097458,0.001554069,0.002233451],"category_scores_gemma":[0.01788201,0.001005316,0.001195739,0.001769921,0.0008494654,0.00160085,0.001409336,0.001796159,0.00060263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001806782,"about_ca_system_score_gemma":0.001870887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05854625,"about_ca_topic_score_gemma":0.08478928,"domain_scores_codex":[0.9989513,0.0005042045,0.00006670155,0.0002628788,0.0001069968,0.0001079623],"domain_scores_gemma":[0.9936022,0.004886534,0.0005560921,0.0002984286,0.0004235826,0.0002331304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003332928,0.0001619268,0.08540852,0.0001514041,0.000462213,0.0002771061,0.0005320749,0.7196363,0.001499454,0.01751692,0.002042661,0.1719781],"study_design_scores_gemma":[0.00002258252,0.0000453918,0.01366504,0.00008208082,0.00006419267,0.00009532461,0.0001163859,0.9642622,0.0002041909,0.02020019,0.001193701,0.00004859456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.136175,0.001273347,0.8578297,0.0005439227,0.00003034732,0.0001474479,0.001016661,0.0005435742,0.002439999],"genre_scores_gemma":[0.6762667,0.001305732,0.3147067,0.0002383576,0.0001170889,0.0002734769,0.002410297,0.0001575636,0.004524177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05854625,"threshold_uncertainty_score":0.1164109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02587116595201613,"score_gpt":0.2529040509287542,"score_spread":0.2270328849767381,"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."}}