{"id":"W2018705789","doi":"10.1111/j.1095-8649.2000.tb02153.x","title":"Temporal abundance patterns and growth of juvenile herring and sprat from the Thames estuary 1977–1992","year":2000,"lang":"en","type":"article","venue":"Journal of Fish Biology","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sprat; Clupea; Estuary; Herring; Biology; Abundance (ecology); Fishery; Juvenile; Juvenile fish; Clupeidae; Ecology; Oceanography; Fish <Actinopterygii>","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":[0.0001855731,0.0002284723,0.00009844745,0.001067117,0.0004292596,0.0003662375,0.0001419293,0.0002224832,0.001491521],"category_scores_gemma":[0.000435859,0.0001850819,0.0001473512,0.0007005635,0.000242593,0.0002604557,0.0003001184,0.0002309286,0.0002948241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005480567,"about_ca_system_score_gemma":0.0002732911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05474893,"about_ca_topic_score_gemma":0.22204,"domain_scores_codex":[0.9999247,0.000008205649,0.000008733028,0.00001561035,0.00001477606,0.00002800451],"domain_scores_gemma":[0.9995313,0.00006623397,0.000187438,0.00001554654,0.00009043506,0.0001091372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009243242,0.00001563759,0.995267,0.00001724925,0.00002492934,0.0003258263,0.000464425,0.00007779939,0.001292425,0.00001397636,0.0003466112,0.002061831],"study_design_scores_gemma":[9.401035e-7,0.00001322198,0.9994248,0.00000184742,0.00000445008,0.0001152571,0.0001894096,0.00003476228,0.00006410839,0.000001494897,0.0001481486,0.00000165661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992893,0.00004953335,0.00001388603,0.00001316866,0.000001520056,0.00000109315,0.0004402879,0.000001842642,0.0001893161],"genre_scores_gemma":[0.9981709,0.0001059675,0.00004776954,0.00001410847,0.000004045113,0.000005879714,0.001154744,0.000001266097,0.0004953679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05474893,"threshold_uncertainty_score":0.1088605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215680775080535,"score_gpt":0.2372623738530562,"score_spread":0.2251055661022508,"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."}}