{"id":"W4381514972","doi":"10.3354/meps14351","title":"Estimating catchability and density of the European lobster Homarus gammarus from continuous, short-term mark-recapture data","year":2023,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of British Columbia","funders":"","keywords":"Fishery; Fishing; Stock assessment; Homarus; Mark and recapture; Gammarus; American lobster; Escapement; Population; Biology; Sex ratio; Crustacean; Ecology; Geography; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001686774,0.0002933105,0.0002893321,0.0008855551,0.0001407712,0.0004975612,0.0005270683,0.0003603341,0.0005384986],"category_scores_gemma":[0.006244969,0.0004240382,0.0003691678,0.00045195,0.0004082494,0.0006835379,0.0005754379,0.0002553368,0.0002072118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004643077,"about_ca_system_score_gemma":0.0001779634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01536106,"about_ca_topic_score_gemma":0.03038445,"domain_scores_codex":[0.9995097,0.0001551763,0.00005994755,0.0001444626,0.00007903981,0.00005173804],"domain_scores_gemma":[0.9968491,0.001394954,0.001084123,0.000323534,0.0002265837,0.0001216818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007316813,0.00001778623,0.9895873,0.00001458666,0.00007838296,0.00004886605,0.0001560713,0.004839908,0.001608679,0.00002918145,0.00003378093,0.003512315],"study_design_scores_gemma":[0.000004952193,0.0001021125,0.9845782,0.000006923471,0.00003239225,0.00008216077,0.00008168301,0.01456332,0.0004336593,0.00004040657,0.00006448558,0.000009761247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987687,0.00003273741,0.0009867791,0.000003722398,4.156984e-7,0.000005839218,0.0001109644,0.000006626469,0.00008419173],"genre_scores_gemma":[0.9985154,0.0000281402,0.0009791098,0.000003518365,0.000001235107,0.00001288839,0.000348371,0.000002471841,0.0001089721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01536106,"threshold_uncertainty_score":0.03054333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939462435914125,"score_gpt":0.253855372248459,"score_spread":0.2344607478893178,"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."}}