{"id":"W4212849348","doi":"10.1016/j.jglr.2022.02.003","title":"Foreword: Stressors and successes, Lake Ontario CSMI intensive year 2018","year":2022,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Ecosystem; Environmental resource management; Environmental planning; Environmental science; Geography; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0004831522,0.0005517661,0.0004741035,0.001575357,0.002457596,0.001753782,0.0007510236,0.001922916,0.0878888],"category_scores_gemma":[0.002875886,0.0002658174,0.0003005255,0.001873719,0.0004030879,0.001033057,0.000957247,0.001321525,0.01930911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005860975,"about_ca_system_score_gemma":0.009874563,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4153754,"about_ca_topic_score_gemma":0.7528936,"domain_scores_codex":[0.9997159,0.00001119955,0.00002721014,0.00003039316,0.0001544192,0.00006094906],"domain_scores_gemma":[0.9960994,0.0001536248,0.0003004851,0.00005928007,0.002184772,0.001202407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002183821,0.000005466889,0.001663425,0.00005976949,0.000001722896,0.0000189549,0.00003413048,0.000005225589,0.00003731447,0.000042543,0.9934039,0.004705835],"study_design_scores_gemma":[0.00002626823,0.00003541752,0.1015123,0.0005764123,0.00001313788,0.00006839378,0.001021064,0.0000469039,0.00009064273,0.0001685843,0.8964245,0.00001632029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.02513307,0.0396342,0.0003891388,0.4477296,0.2394405,0.0005621015,0.1101219,0.0007774698,0.136212],"genre_scores_gemma":[0.05591681,0.0266443,0.0005888222,0.04405264,0.07370534,0.0004471081,0.04825733,0.0003062292,0.7500814],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.5846246,"threshold_uncertainty_score":0.8259153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04785122736978453,"score_gpt":0.3135564598718782,"score_spread":0.2657052325020937,"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."}}