{"id":"W7014530371","doi":"","title":"Projected climate change impact on Baltic Sea cyanobacteria Climate change impact on cyanobacteria","year":2013,"lang":"en","type":"article","venue":"Max Planck Digital Library","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Cyanobacteria; Phytoplankton; Climate change; Forcing (mathematics); Baltic sea; Global change; Biomass (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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001065661,0.0007381878,0.0006627585,0.0003115605,0.0001963564,0.001792084,0.0005300002,0.0002194955,0.01185746],"category_scores_gemma":[0.00001569639,0.0004916302,0.0003075987,0.000491592,0.00005398907,0.005575375,0.000153443,0.0003196888,0.01203674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002036751,"about_ca_system_score_gemma":0.00006000193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001583231,"about_ca_topic_score_gemma":0.0001042696,"domain_scores_codex":[0.996733,0.000114226,0.0005386331,0.0007219082,0.0004289314,0.001463349],"domain_scores_gemma":[0.9983388,0.0001657758,0.000267209,0.0005984671,0.00002697195,0.0006027515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008752382,0.0001430688,0.9544733,0.0001814462,0.0000622099,0.0001192699,0.0001385297,0.000006857013,0.0000257865,0.00004433844,0.004346405,0.03958353],"study_design_scores_gemma":[0.0005558311,0.00195407,0.9901288,0.0002539488,0.00001358341,0.0000766829,0.0000491036,0.002188045,0.00006793622,0.0002425973,0.003775869,0.0006935238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8520623,0.00006044183,1.056612e-7,0.0002320506,0.0006578609,0.001329902,0.01879988,0.0004421954,0.1264152],"genre_scores_gemma":[0.9858632,0.0001340491,0.00001251181,0.0009239453,0.001223291,0.00007352097,0.01153807,0.00005229998,0.000179134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1338008,"threshold_uncertainty_score":0.9997535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799692676989473,"score_gpt":0.2104743585209069,"score_spread":0.1924774317510122,"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."}}