{"id":"W2086413247","doi":"10.1139/f04-041","title":"Quantitative reconstruction of past salinity variations in African lakes: assessment of chironomid-based inference models (Insecta: Diptera) in space and time","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Aquatic Ecosystems and Biodiversity","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Fonds Wetenschappelijk Onderzoek; Vlaamse regering; University of Minnesota; National Science Foundation","keywords":"Chironomidae; Diatom; Paleolimnology; Midge; Environmental science; Ecology; Replicate; Salinity; Hydrology (agriculture); Biology; Geology; Larva; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003727043,0.0006867259,0.000272041,0.000859703,0.000334475,0.001004267,0.0004984397,0.0005268237,0.0002884928],"category_scores_gemma":[0.009805908,0.0005842335,0.0005438835,0.0005002894,0.0005073098,0.0009652468,0.0006813814,0.0004612896,0.0001081991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033056,"about_ca_system_score_gemma":0.0005108007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01109222,"about_ca_topic_score_gemma":0.009275735,"domain_scores_codex":[0.9994141,0.00033449,0.00004990342,0.0001058435,0.00005693756,0.00003875335],"domain_scores_gemma":[0.9961357,0.002589548,0.0006768252,0.0002191478,0.0002903569,0.00008841884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003461313,0.0001026128,0.5858303,0.00007810022,0.0004446924,0.0001417032,0.0006266732,0.3735683,0.008752367,0.0005608584,0.00009744622,0.02945088],"study_design_scores_gemma":[0.00001528144,0.00009274256,0.113939,0.00001819596,0.00004788652,0.00006744206,0.0001038662,0.8831348,0.002124691,0.0003338982,0.00009674339,0.00002548157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967571,0.00004286037,0.003030966,0.00002144224,7.351874e-7,0.000004350077,0.00004477738,0.00001865958,0.00007916091],"genre_scores_gemma":[0.997166,0.00003303035,0.00259277,0.00000274256,0.000001574821,0.000005540119,0.0001381348,0.000004790807,0.00005536762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01109222,"threshold_uncertainty_score":0.02205533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02635472696334178,"score_gpt":0.2284386757514832,"score_spread":0.2020839487881414,"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."}}