{"id":"W2134012259","doi":"10.1007/s00227-003-1175-8","title":"Intraspecific competition in Fucus serratus and F . evanescens (Phaeophyceae: Fucales) germlings: effects of settlement density, nutrient concentration, and temperature","year":2004,"lang":"en","type":"article","venue":"Marine Biology","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Norsk Institutt for Vannforskning; Havforskningsinstituttet","keywords":"Intraspecific competition; Nutrient; Biology; Fucales; Competition (biology); Botany; Fucus vesiculosus; Dominance (genetics); Algae; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001152715,0.0001347441,0.0002444484,0.00005250616,0.00004930195,0.00001439448,0.00006010677,0.0001302017,0.0001146023],"category_scores_gemma":[0.0000189979,0.0001081612,0.00001750256,0.0001118782,0.0001815793,0.00004573256,0.00005554035,0.0001403751,0.000005673565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006324278,"about_ca_system_score_gemma":0.00003081412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00240273,"about_ca_topic_score_gemma":0.01087718,"domain_scores_codex":[0.9991472,0.00007980771,0.0002268053,0.0002704269,0.00005310919,0.0002226063],"domain_scores_gemma":[0.9996433,0.00009692044,0.00006939036,0.00008513009,0.0000333782,0.00007187592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001526757,0.00005450138,0.9567798,0.0001709927,0.00001802823,0.00005877688,0.000141772,0.00001874838,0.007285049,0.004923393,0.00002254824,0.03037372],"study_design_scores_gemma":[0.001475412,0.000702564,0.9837961,0.00003527613,0.00001368986,0.0001189212,0.00008773115,0.00004451083,0.002497495,0.008147406,0.002901069,0.000179845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976011,0.0006016991,0.00002051163,0.0002805165,0.0002170974,0.0003064295,0.00005683365,0.00001364558,0.000902162],"genre_scores_gemma":[0.9979928,0.0008464511,0.0001225874,0.000193394,0.00008651217,0.000002658931,0.0007116955,0.000001919381,0.00004202157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03019388,"threshold_uncertainty_score":0.6069723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003980729050266784,"score_gpt":0.1873194774925332,"score_spread":0.1833387484422664,"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."}}