{"id":"W2074754096","doi":"10.1577/m09-089.1","title":"Sportfishing Participation on Lake Ontario: Modeling the Past, Predicting the Future","year":2010,"lang":"en","type":"article","venue":"North American Journal of Fisheries Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; New York State Department of Environmental Conservation; U.S. Department of Commerce","keywords":"Fishing; TRIPS architecture; Recreation; Recreational fishing; Fishery; Variables; Geography; Variable (mathematics); Environment variable; Bass (fish); Novelty; Environmental science; Ecology; Statistics; Biology; Mathematics","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":[0.0006674146,0.0005999199,0.0004016487,0.0007926709,0.001131072,0.001345852,0.001432734,0.001223404,0.003358077],"category_scores_gemma":[0.002074667,0.0004540365,0.0007177359,0.0009206315,0.0004914014,0.0007164976,0.0008226357,0.0007867111,0.0003579833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01039216,"about_ca_system_score_gemma":0.006707134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9008381,"about_ca_topic_score_gemma":0.8961082,"domain_scores_codex":[0.9998103,0.00003518581,0.000008939171,0.00005151501,0.00002772795,0.00006633073],"domain_scores_gemma":[0.9991986,0.0002289746,0.0001334857,0.00002840235,0.0002328023,0.0001777751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000272596,0.0002223223,0.5891273,0.00009050732,0.0001550084,0.0004325933,0.0006326208,0.3962097,0.0006742348,0.001226045,0.003093997,0.007863075],"study_design_scores_gemma":[0.00003982351,0.0001239515,0.1418665,0.00003828884,0.00007945352,0.00003393588,0.0007309055,0.8541608,0.0001371795,0.000494318,0.002257683,0.00003714838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950589,0.0001064433,0.0007257237,0.000455464,0.00001143807,0.00002741845,0.001868111,0.00003501062,0.001711549],"genre_scores_gemma":[0.9954868,0.0001044509,0.0005940556,0.00002487162,0.000008146164,0.00003771457,0.0012589,0.000006074534,0.002478963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09916192,"threshold_uncertainty_score":0.1994917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007696064647706114,"score_gpt":0.201670806246676,"score_spread":0.1939747415989699,"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."}}