{"id":"W1975528725","doi":"10.1139/f2011-049","title":"Does increased information about reproductive potential result in better prediction of recruitment?","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Gadus; Spawn (biology); Halibut; Biology; Sexual maturity; Fishery; Population; Stock assessment; Atlantic cod; Haddock; Groundfish; Ecology; Fishing; Demography; Fish <Actinopterygii>; Fisheries management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.01498952,0.000819255,0.001415648,0.001104855,0.000319182,0.001807512,0.0008025121,0.001511779,0.001928076],"category_scores_gemma":[0.0377604,0.0004404444,0.0008862177,0.0008490251,0.001032909,0.002789673,0.0008539798,0.0008265907,0.001013811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006150081,"about_ca_system_score_gemma":0.0005885942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008630279,"about_ca_topic_score_gemma":0.02003638,"domain_scores_codex":[0.9970697,0.001727545,0.0001666214,0.0006007344,0.0002833715,0.0001520255],"domain_scores_gemma":[0.9723346,0.02094814,0.00304755,0.002266549,0.0008856436,0.0005174958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005826252,0.0001503122,0.9022961,0.0001600949,0.0009910145,0.0001740366,0.0001055185,0.02620972,0.004310041,0.0005138047,0.0007858287,0.06372098],"study_design_scores_gemma":[0.00007451748,0.000608496,0.8397114,0.0001080886,0.0002484208,0.0003388531,0.0001126881,0.1524297,0.002241465,0.00314111,0.0008943518,0.00009100586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705939,0.001434842,0.0202794,0.002131793,0.00005824804,0.00005111041,0.001216276,0.0002347682,0.003999717],"genre_scores_gemma":[0.991697,0.0003236538,0.006540394,0.0004057698,0.00005707667,0.00001070851,0.0005656115,0.00002598005,0.0003738237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01498952,"threshold_uncertainty_score":0.0792731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03371951321737593,"score_gpt":0.2261969598892137,"score_spread":0.1924774466718377,"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."}}