{"id":"W4237280669","doi":"10.47886/9781934874448.ch1","title":"Fishery Resources, Environment, and Conservation in the Mississippi and Yangtze (Changjiang) River Basins","year":2016,"lang":"en","type":"book-chapter","venue":"American Fisheries Society eBooks","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Habitat; Floodplain; Fishery; Geography; Fishing; Flood control; Channel (broadcasting); Drainage basin; Tributary; Main river; Environmental science; Hydrology (agriculture); Flood myth; Oceanography; Ecology; Geology; Archaeology","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0002502192,0.0003418246,0.0003514166,0.00002153699,0.0003581505,0.00004361111,0.0002180235,0.0001644947,0.0007820769],"category_scores_gemma":[0.00001289603,0.0002529908,0.00009476654,0.00002088043,0.005380003,0.0001046355,0.0005111845,0.000264236,0.00004781245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001194644,"about_ca_system_score_gemma":0.000006609235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002938395,"about_ca_topic_score_gemma":0.00158693,"domain_scores_codex":[0.9986145,0.00005756653,0.0002370732,0.0005430761,0.0002363806,0.0003114338],"domain_scores_gemma":[0.9991594,0.0002083296,0.0002501136,0.0003192506,0.000003589479,0.00005929344],"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":[0.00007207796,0.00004238569,0.2551132,0.00008917628,0.0003920448,0.00004680594,0.03117125,4.542743e-7,0.00005156861,0.002535975,0.6435795,0.06690554],"study_design_scores_gemma":[0.0002348589,0.00009764266,0.1299449,0.00002969632,0.0000680876,0.000005557575,0.001386083,0.000004515673,9.091654e-7,0.00280954,0.8651153,0.0003029788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02090558,0.0001251211,0.00003167373,0.01154008,0.00005226888,0.0005750405,0.00005932214,0.00004686741,0.966664],"genre_scores_gemma":[0.02158847,0.00364479,0.001129351,0.03683947,0.0001437409,0.0001686358,0.00003069432,0.00009836374,0.9363565],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2215358,"threshold_uncertainty_score":0.9999923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268351105585517,"score_gpt":0.1853307702837273,"score_spread":0.1726472592278721,"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."}}