{"id":"W2605570603","doi":"10.1073/pnas.1620211114","title":"Salting our freshwater lakes","year":2017,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":460,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Waterloo","funders":"National Science Foundation","keywords":"Habitat; Freshwater ecosystem; Impervious surface; Recreation; Aquatic ecosystem; Environmental science; Ecosystem; Fishery; Geography; Ecology; Hydrology (agriculture); Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003079626,0.0002616088,0.000233877,0.0004442082,0.002513823,0.001829699,0.0005722591,0.0004322075,0.01401569],"category_scores_gemma":[0.0009440599,0.0001379513,0.0002826556,0.001137887,0.001409578,0.001813343,0.002092508,0.0003853462,0.001509591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724319,"about_ca_system_score_gemma":0.002013641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03882851,"about_ca_topic_score_gemma":0.1321196,"domain_scores_codex":[0.9996471,0.00004051167,0.00002870561,0.00008077019,0.0001370669,0.00006577726],"domain_scores_gemma":[0.9994554,0.00003610664,0.0001714436,0.00005432337,0.0001696339,0.0001130998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001106139,0.00006693704,0.6218998,0.000469467,0.0001212171,0.001077008,0.00985455,0.001080873,0.02354835,0.009849805,0.04485835,0.2870631],"study_design_scores_gemma":[0.00001078042,0.0001772181,0.5910176,0.0002337809,0.00009105865,0.0008691509,0.01865156,0.000836292,0.007335315,0.006625758,0.374081,0.00007050184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9059013,0.00181411,0.003314494,0.01223332,0.0002539827,0.00008392699,0.002208927,0.0004029241,0.07378691],"genre_scores_gemma":[0.9488782,0.001476053,0.006355077,0.003135213,0.000110351,0.00003940595,0.0009197424,0.0000769309,0.03900899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03882851,"threshold_uncertainty_score":0.077205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03592101085657944,"score_gpt":0.2922440382239512,"score_spread":0.2563230273673718,"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."}}