{"id":"W1979820497","doi":"10.1080/14634980490900887","title":"Emerging Issues in Lake Superior Research","year":2004,"lang":"en","type":"article","venue":"Aquatic Ecosystem Health & Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Limnology; Lake ecosystem; Ecosystem health; Geography; Fisheries management; Aquatic ecosystem; Ecosystem; Ecology; Fishery; Ecosystem services; Fishing; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003495602,0.0001762999,0.0003244049,0.0002451031,0.0004957446,0.00003380423,0.0003783035,0.00004639473,0.001033009],"category_scores_gemma":[0.00003947789,0.0001721832,0.00003843701,0.0007284263,0.00008429583,0.0001940036,0.0006728183,0.0002053644,0.003785858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000877645,"about_ca_system_score_gemma":0.00001623037,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001798245,"about_ca_topic_score_gemma":0.3255606,"domain_scores_codex":[0.997093,0.0003007843,0.0005795703,0.0005459774,0.0005639652,0.0009167208],"domain_scores_gemma":[0.9992885,0.00006913872,0.0000941287,0.0004306525,0.000005990135,0.0001115928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009060104,0.001736639,0.5221732,0.004229609,0.0003264342,0.0007282143,0.01956789,0.01494086,0.000008653424,0.04976293,0.3365,0.04993496],"study_design_scores_gemma":[0.002145215,0.0003571813,0.4887458,0.0005421824,0.00001900889,0.000004364156,0.009750568,0.0008598537,0.000009576964,0.01210065,0.4850156,0.0004499083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7714919,0.0004853288,0.000612054,0.1010827,0.0007552377,0.004759754,0.000007823175,0.0002124161,0.1205927],"genre_scores_gemma":[0.9922092,0.0008605553,0.001487172,0.002080815,0.00003774762,0.0004441906,0.000007277585,0.00002128142,0.002851771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3237624,"threshold_uncertainty_score":0.9998802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03080942932847629,"score_gpt":0.3370815110669653,"score_spread":0.306272081738489,"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."}}