{"id":"W1997365355","doi":"10.1016/s0380-1330(03)70526-7","title":"Assessing Assessment: Can the Expected Effects of the St. Marys River Sea Lamprey Control Strategy Be Detected?","year":2003,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"U.S. Geological Survey; Michigan Department of Natural Resources; Great Lakes Fishery Commission","keywords":"Petromyzon; Lamprey; Salvelinus; Fishery; Trout; Environmental science; Management strategy; Fish <Actinopterygii>; Biology","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":[0.01495428,0.0007920132,0.0005780862,0.0007031803,0.0004495819,0.001878208,0.001149931,0.00183078,0.002501038],"category_scores_gemma":[0.1070135,0.0001695011,0.0004426423,0.000455189,0.0009034373,0.003366128,0.0010111,0.001281337,0.0004206456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001058355,"about_ca_system_score_gemma":0.002938335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01108332,"about_ca_topic_score_gemma":0.01834772,"domain_scores_codex":[0.9923409,0.004768044,0.0002760972,0.0005692893,0.001713149,0.000332483],"domain_scores_gemma":[0.9584653,0.03124268,0.003792642,0.00125677,0.004431388,0.0008111686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002088553,0.00155134,0.5817896,0.0007837151,0.0008485125,0.0005931079,0.001171319,0.05882555,0.008188058,0.02407392,0.007206038,0.3128804],"study_design_scores_gemma":[0.0005319541,0.007552502,0.5796609,0.0005731726,0.0008648047,0.0005076096,0.004939033,0.2538736,0.0196013,0.1179768,0.013691,0.0002272657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9146664,0.0007227623,0.03191461,0.01187847,0.000203722,0.0003056541,0.0007005579,0.0002165852,0.03939134],"genre_scores_gemma":[0.9930006,0.0001458048,0.005460055,0.0005040146,0.00001631006,0.00006299981,0.00009115309,0.000005397647,0.0007137269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01495428,"threshold_uncertainty_score":0.07908678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03159271724201397,"score_gpt":0.3239021914254583,"score_spread":0.2923094741834444,"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."}}