{"id":"W2767049245","doi":"","title":"The Great Lakes, a 35th year anniversary; time to look forward - eScholarship","year":2008,"lang":"en","type":"article","venue":"Electronic Green Journal","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cormorant; Population; Habitat destruction; Fishery; Sturgeon; Geography; Habitat; Climate change; Ecology; Fish <Actinopterygii>; Biology; Predation; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000505381,0.0001223438,0.0001171546,0.00003377434,0.001312115,0.00003139083,0.0004123411,0.00004277461,0.004390428],"category_scores_gemma":[0.00003761673,0.00008731986,0.00007072915,0.000176467,0.0001772332,0.000242118,0.0002087659,0.0004354408,0.006337292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003205588,"about_ca_system_score_gemma":0.00003539967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002032329,"about_ca_topic_score_gemma":0.0007857292,"domain_scores_codex":[0.9986826,0.00008227038,0.0001433013,0.0001818045,0.0002567334,0.0006533286],"domain_scores_gemma":[0.9995961,0.00004327395,0.00006606187,0.0001655739,0.000009793079,0.0001192369],"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":[0.0001753916,0.00005961006,0.1422052,0.000002099878,0.0002197156,0.000179981,0.0004696723,0.0001208249,0.0001708654,0.0003742822,0.8508615,0.005160804],"study_design_scores_gemma":[0.0005960888,0.0005485991,0.2714527,0.000006203003,0.00004020603,0.0003470539,0.00007811812,0.00004239514,0.00004162937,0.002041375,0.7245983,0.0002072825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8867093,0.0002583764,0.0001706158,0.01239997,0.000140829,0.0003632191,0.000002017378,0.00005960494,0.09989603],"genre_scores_gemma":[0.7804609,0.0008359306,0.0002575329,0.003153989,0.0002367222,0.0000188851,0.000002134352,0.00003039494,0.2150035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1292474,"threshold_uncertainty_score":0.999988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00618328164240934,"score_gpt":0.1901637110379853,"score_spread":0.183980429395576,"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."}}