{"id":"W2154135512","doi":"10.1046/j.1365-2419.2002.00195.x","title":"The effects of short space and time scale current variability on the predictability of passive ichthyoplankton distributions: an analysis based on HF radar observations","year":2002,"lang":"en","type":"article","venue":"Fisheries Oceanography","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Predictability; Advection; Current (fluid); Ichthyoplankton; Scale (ratio); Radar; Environmental science; Ocean current; Divergence (linguistics); Forcing (mathematics); Sampling (signal processing); Diffusion; Geology; Climatology; Fish <Actinopterygii>; Oceanography; Physics; Mathematics; Statistics; Computer science; Biology","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":[0.00135581,0.0003463225,0.0003618238,0.0004742253,0.0003224589,0.0007110985,0.0002782911,0.0003768071,0.0005084397],"category_scores_gemma":[0.005972718,0.000278679,0.000721601,0.0003060175,0.0005398017,0.000797781,0.0003260495,0.0003737659,0.00009211845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003625247,"about_ca_system_score_gemma":0.0002466826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007314932,"about_ca_topic_score_gemma":0.004050585,"domain_scores_codex":[0.9997533,0.00008343194,0.00001691327,0.00005435625,0.00004228246,0.0000497274],"domain_scores_gemma":[0.9939652,0.004819413,0.0003312288,0.0003849044,0.000296845,0.0002024431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008970932,0.0001509823,0.5696435,0.00005935313,0.0005084003,0.0005304242,0.0001453472,0.3865816,0.02271497,0.0007863111,0.000380531,0.01760146],"study_design_scores_gemma":[0.00003427434,0.0001412586,0.2711134,0.000005003082,0.0000869878,0.0001027277,0.00003712609,0.7257251,0.002099548,0.000541889,0.00008882115,0.00002377345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979801,0.00003514469,0.001727432,0.00003712373,0.000002852436,0.000002261027,0.0000487658,0.00001836055,0.0001479672],"genre_scores_gemma":[0.9996984,0.00002041588,0.0001669536,0.000003797664,0.00000537402,9.765857e-7,0.00007404024,0.000004817341,0.00002524494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007314932,"threshold_uncertainty_score":0.01454467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009222179130246916,"score_gpt":0.1866293633838534,"score_spread":0.1774071842536065,"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."}}