{"id":"W124620756","doi":"","title":"Population dynamics of age-0 walleye in western Lake Erie.","year":2005,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Population; Fishery; Demography; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003606677,0.0001104259,0.000144369,0.0004469429,0.0002115696,0.0003317334,0.0002598904,0.0002250335,0.0005816851],"category_scores_gemma":[0.0003909067,0.000101768,0.0001138986,0.0006228941,0.0001331948,0.000326144,0.0003211321,0.00009211661,0.000259587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009857044,"about_ca_system_score_gemma":0.0006217536,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1325603,"about_ca_topic_score_gemma":0.416923,"domain_scores_codex":[0.9998755,0.00001287821,0.0000132017,0.00003305513,0.00003106362,0.00003422144],"domain_scores_gemma":[0.9997893,0.00001659442,0.00008722894,0.000008177361,0.00006666074,0.00003203188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000763456,0.00001905003,0.9868961,0.00003642403,0.00003171611,0.0002040709,0.001378549,0.0002247685,0.001712013,0.000103591,0.0004570534,0.008860262],"study_design_scores_gemma":[0.000001694058,0.00002038747,0.9986682,0.000005237159,0.000004836301,0.00004959003,0.000385504,0.0001001537,0.00006374285,0.000006719574,0.0006918247,0.000002225253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989724,0.0001691837,0.00003607168,0.000022534,0.00000106177,0.000002270076,0.0004518607,0.000002679688,0.0003419795],"genre_scores_gemma":[0.9965408,0.0002815292,0.0002124387,0.00002599562,0.000001989654,0.00001087122,0.001063362,0.000002139038,0.001860797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8674397,"threshold_uncertainty_score":0.2635773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104578921954209,"score_gpt":0.202405927052277,"score_spread":0.1919480348568561,"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."}}