{"id":"W2078767942","doi":"10.1080/14927713.2011.657341","title":"A comparison of selected systematic sampling procedures in accurately estimating recreation participation","year":2011,"lang":"en","type":"article","venue":"Leisure/Loisir","topic":"Recreation, Leisure, Wilderness Management","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sampling (signal processing); Systematic sampling; Sample (material); Statistics; Recreation; Sample size determination; Sampling design; Population; Visitor pattern; Probability sampling; Econometrics; Mathematics; Computer science; Demography; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008696689,0.0002809808,0.0007962313,0.0003733133,0.00008733018,0.00004410137,0.0002827799,0.0001860482,0.0002477176],"category_scores_gemma":[0.0007136826,0.0002692702,0.00007029803,0.0007932255,0.00005104923,0.0002895406,0.00004167889,0.0001992642,0.0001050999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001247888,"about_ca_system_score_gemma":0.00007272416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000853444,"about_ca_topic_score_gemma":0.0007388257,"domain_scores_codex":[0.9968134,0.0004860552,0.00141072,0.0004845591,0.0003778134,0.0004274399],"domain_scores_gemma":[0.997773,0.0003329388,0.0009980801,0.000498505,0.0003227832,0.00007469893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001542052,0.0007187732,0.9620567,0.005767719,0.0001512101,0.000003835643,0.02175159,0.001922885,0.0005301275,0.005575027,0.000125462,0.001242467],"study_design_scores_gemma":[0.0008635126,0.0002137594,0.9748421,0.003159383,0.0001908908,0.000004845018,0.001767006,0.01534135,0.002598505,0.0006811397,0.00001583834,0.0003216409],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686379,0.0002248911,0.02423692,0.00002846092,0.0004274857,0.002044568,0.000002558874,0.0001839294,0.004213299],"genre_scores_gemma":[0.9879507,0.000003652686,0.01086994,0.00000505323,0.00006477666,0.0007808807,0.00004328006,0.00004680458,0.000234958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01998458,"threshold_uncertainty_score":0.9999759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2048545423153259,"score_gpt":0.427659977709592,"score_spread":0.222805435394266,"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."}}