{"id":"W7161962667","doi":"10.82308/32614","title":"Aquatic biodiversity patterns along gradients of multiple stressors and disturbance histories: Integration of paleocology and molecular techniques","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Diatom; Paleolimnology; Disturbance (geology); Beta diversity; Anthropocene; Aquatic biodiversity research; Habitat; Environmental change; Climate change","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007958793,0.0002545995,0.000238471,0.002737577,0.0005170388,0.001311166,0.0003846852,0.0004147306,0.0007394514],"category_scores_gemma":[0.0008771096,0.0003570537,0.0002568489,0.002944216,0.0004789819,0.00111109,0.000919778,0.0008349605,0.0002369958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003936349,"about_ca_system_score_gemma":0.0002699019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003280852,"about_ca_topic_score_gemma":0.009397609,"domain_scores_codex":[0.9997103,0.00008863159,0.00002297354,0.00009594571,0.00005213355,0.00003006074],"domain_scores_gemma":[0.9995052,0.0001530943,0.0001851864,0.00003073609,0.00008201233,0.00004390766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001073286,0.0001014932,0.7772325,0.0003042741,0.0002484047,0.0002885005,0.003476764,0.001268856,0.06988867,0.001339473,0.0004917284,0.1452521],"study_design_scores_gemma":[0.000002896438,0.00006528667,0.9868699,0.00007144958,0.00004556244,0.0004236,0.001744213,0.002797077,0.003275596,0.001055123,0.003623362,0.00002611336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962617,0.005521113,0.02487045,0.0005837915,0.00004385103,0.00006211833,0.001261899,0.00007467063,0.00496525],"genre_scores_gemma":[0.9207841,0.004913611,0.07153787,0.0004165606,0.00007335516,0.0001100703,0.0007313872,0.0000457506,0.001387279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003280852,"threshold_uncertainty_score":0.00652349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01205427796297764,"score_gpt":0.2652802490201526,"score_spread":0.253225971057175,"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."}}