{"id":"W3002800787","doi":"10.1002/ecs2.3015","title":"Larval dispersal in a changing ocean with an emphasis on upwelling regions","year":2020,"lang":"en","type":"article","venue":"Ecosphere","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"California Sea Grant, University of California, San Diego; Division of Ocean Sciences; National Defense Science and Engineering Graduate; University of California; National Science Foundation","keywords":"Biological dispersal; Ecology; Climate change; Biology; Plankton; Population; Habitat; Ocean acidification; Adaptation (eye); Larva; Upwelling","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":[0.0002590071,0.0001815202,0.0001999113,0.0006260339,0.0002838119,0.0007101443,0.0002086824,0.0002773254,0.001290913],"category_scores_gemma":[0.0003775746,0.00006905417,0.000396376,0.001020475,0.0003762828,0.0006127637,0.0005843159,0.0003544428,0.0001325548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006403484,"about_ca_system_score_gemma":0.0004203217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01825109,"about_ca_topic_score_gemma":0.02336435,"domain_scores_codex":[0.9999313,0.00001558154,0.000008494828,0.00001729466,0.0000128621,0.00001442498],"domain_scores_gemma":[0.999723,0.00003667051,0.0001487547,0.000009617573,0.00005325457,0.00002868595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001441447,0.00004300151,0.6735085,0.00303272,0.000936,0.003006474,0.00299645,0.01038814,0.02710789,0.01840183,0.007494579,0.2529401],"study_design_scores_gemma":[0.000009517116,0.00008280826,0.9545693,0.0005225798,0.0002744982,0.0006614355,0.001659152,0.001599706,0.0005538824,0.00311839,0.03691732,0.00003140806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8602932,0.09902193,0.008608771,0.009028847,0.0003060296,0.0000574227,0.001362015,0.00009211342,0.02122973],"genre_scores_gemma":[0.9487419,0.04582269,0.002907597,0.0006536184,0.0001675572,0.00001741109,0.0002734067,0.00001019462,0.001405644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01825109,"threshold_uncertainty_score":0.03628969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984471139801908,"score_gpt":0.2325664301883444,"score_spread":0.2127217187903254,"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."}}