{"id":"W1550754221","doi":"10.1002/9780470057339.vnn141","title":"Fish Population Estimation","year":2012,"lang":"en","type":"other","venue":"Encyclopedia of Environmetrics","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Fish <Actinopterygii>; Estimation; Fishery; Strengths and weaknesses; Abundance (ecology); Abundance estimation; Population; Population dynamics of fisheries; Geography; Statistics; Econometrics; Computer science; Mathematics; Biology; Economics; Sociology; Psychology; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001562835,0.0002016019,0.0002622311,0.0002405781,0.00004676447,0.0000029349,0.0001891027,0.0002630852,0.03127835],"category_scores_gemma":[0.0001390919,0.0002039284,0.0000572119,0.0003556334,0.0001345541,0.00009994071,0.0002748519,0.0001257786,0.001519482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008149847,"about_ca_system_score_gemma":0.000001197999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002874325,"about_ca_topic_score_gemma":0.0004213432,"domain_scores_codex":[0.9989681,0.00003591562,0.0002312075,0.000252379,0.0002785114,0.0002338494],"domain_scores_gemma":[0.9992566,0.00006417294,0.0003350992,0.0002921105,8.862764e-7,0.00005111854],"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":[0.000001226398,0.0000693066,0.1953595,0.00002716305,0.00002083793,7.545261e-7,0.00002379815,0.0001488721,1.827138e-7,0.0000343957,0.7960625,0.008251433],"study_design_scores_gemma":[0.00007134778,0.00001480857,0.3963561,0.000006553857,0.00005557004,2.313685e-7,0.000003320702,0.00001874596,8.463196e-7,0.00007929281,0.6032617,0.0001314692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005403495,0.0001414516,0.000828739,0.00007728546,0.0004947347,0.0002912723,0.00002671503,0.00006988752,0.9975296],"genre_scores_gemma":[0.005411964,0.004297328,0.008192355,0.0002090609,0.0001871431,0.00003393452,0.0002006124,0.0002040381,0.9812636],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2009966,"threshold_uncertainty_score":0.9992579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006435735478555425,"score_gpt":0.2081904747661265,"score_spread":0.201754739287571,"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."}}