{"id":"W6959424356","doi":"10.1021/es103892w.s001","title":"Incidental Oligotrophication of North American Great Lakes","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drawdown (hydrology); Ecosystem; Expansive; Phytoplankton; Spring (device); Productivity","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":[0.0001276242,0.000128401,0.0001251114,0.0004778789,0.00074645,0.0004772916,0.0001311574,0.0001541561,0.001074947],"category_scores_gemma":[0.0004509848,0.0001264904,0.00007453909,0.0004192954,0.0003976499,0.0002774537,0.0006543504,0.0001676951,0.00009804086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009728007,"about_ca_system_score_gemma":0.0005910216,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08415394,"about_ca_topic_score_gemma":0.3359459,"domain_scores_codex":[0.9998938,0.00001159177,0.000009731732,0.00003166496,0.00003198443,0.00002125588],"domain_scores_gemma":[0.9996783,0.00002488018,0.0001342977,0.00001992238,0.00007432838,0.00006823626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001076249,0.00001684749,0.9643039,0.00002794879,0.0000357843,0.0004207285,0.001078326,0.00008827926,0.02555539,0.0001259689,0.0007434264,0.00749573],"study_design_scores_gemma":[8.334001e-7,0.000006102431,0.9990061,0.000001466532,0.000003059069,0.00005238174,0.000171265,0.00003640568,0.0002603282,0.00001940292,0.0004413177,0.000001277371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980464,0.0001000408,0.00003339604,0.00008622983,0.000002036812,0.000003422361,0.0002037337,0.000008759389,0.001516054],"genre_scores_gemma":[0.9990243,0.00006633973,0.00007615083,0.00007835218,0.000004766372,0.000005246331,0.0001880498,0.000002478222,0.0005543694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.915846,"threshold_uncertainty_score":0.1673282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02467296409388921,"score_gpt":0.2205923804853603,"score_spread":0.1959194163914711,"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."}}