{"id":"W2329140671","doi":"10.3354/meps10975","title":"Semi-annual spawning in marine scallops strengthens larval recruitment and connectivity on Georges Bank: a model study","year":2014,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Bedford Institute of Oceanography; Dalhousie University","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Spawn (biology); Biological dispersal; Fishery; Larva; Biology; Fecundity; Ecology; Oceanography; Population; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008022701,0.0007323913,0.0008612908,0.0005962654,0.0008032531,0.001107885,0.001681115,0.001444314,0.008266089],"category_scores_gemma":[0.001294817,0.0004221212,0.001736292,0.0006111984,0.0008736099,0.0009228595,0.001142099,0.0008140109,0.0007843815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002506184,"about_ca_system_score_gemma":0.001624633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09422449,"about_ca_topic_score_gemma":0.08881889,"domain_scores_codex":[0.9998423,0.00004491653,0.000006587482,0.00003892607,0.000008747194,0.00005856897],"domain_scores_gemma":[0.9986538,0.0005156593,0.0002787196,0.00005955929,0.0001164271,0.0003758316],"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":[0.001520403,0.001325786,0.2572159,0.0004101935,0.0008573916,0.003213614,0.0007253339,0.6872756,0.006206006,0.02095506,0.01105171,0.009242968],"study_design_scores_gemma":[0.0004642501,0.0007005113,0.07210847,0.00004476845,0.0005103669,0.0002334757,0.001027766,0.9187864,0.0002474877,0.004594692,0.001213911,0.00006797822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950444,0.0001252551,0.001083543,0.0004361674,0.00001787964,0.00002702963,0.000595592,0.00002272041,0.002647406],"genre_scores_gemma":[0.9947477,0.0001943947,0.0006416973,0.00007990696,0.00002139234,0.00006033713,0.0003014019,0.00001179128,0.003941509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09422449,"threshold_uncertainty_score":0.1873521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02241661605123595,"score_gpt":0.2738916313787978,"score_spread":0.2514750153275618,"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."}}