{"id":"W4394425475","doi":"10.6084/m9.figshare.3519413","title":"Appendix E. Live baitfish angling effort for lakes, irrespective of risk status, following the agent-based simulation of resident, licensed anglers in Ontario, Canada.","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishing; Fishery; Geography; 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":[0.0008900249,0.001099937,0.0008948117,0.001644255,0.0007429902,0.001312127,0.002383029,0.001318189,0.1130134],"category_scores_gemma":[0.008760961,0.0007963546,0.001075862,0.003600824,0.0003421434,0.0006682915,0.0008945935,0.001065999,0.02936614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006122201,"about_ca_system_score_gemma":0.009094142,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7899785,"about_ca_topic_score_gemma":0.8927158,"domain_scores_codex":[0.999496,0.00006333026,0.00006180789,0.0001228573,0.0001610976,0.00009489877],"domain_scores_gemma":[0.9950632,0.00126894,0.0004087465,0.0005001354,0.002402955,0.0003560245],"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":[0.00005765163,0.00002262755,0.005198458,0.0005145218,0.00005389535,0.00001462069,0.00002965974,0.002506648,0.000029749,0.0004269037,0.9892485,0.001896616],"study_design_scores_gemma":[0.002004638,0.000045176,0.05980496,0.001714555,0.0001694948,0.00008801704,0.0003283308,0.01064071,0.0003116567,0.002623139,0.9221603,0.0001091287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001521579,0.00001617344,0.0000453093,0.00003074541,0.000007026317,0.00001219188,0.9992095,0.00005192493,0.0004750016],"genre_scores_gemma":[0.002918315,0.00005692725,0.000525611,0.00004476174,0.000005683533,0.0002043642,0.9944922,0.00005301904,0.001699115],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2100215,"threshold_uncertainty_score":0.4225167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01916597427601531,"score_gpt":0.2377702187232018,"score_spread":0.2186042444471865,"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."}}