{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0749409,0.0009947915,0.0008713703,0.003078652,0.0006453416,0.000807868,0.001351683,0.001039968,0.001138948],"category_scores_gemma":[0.2106583,0.0008167042,0.001305458,0.002314137,0.001105345,0.001516677,0.001641175,0.0005767565,0.0003624778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148828,"about_ca_system_score_gemma":0.002453411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005312109,"about_ca_topic_score_gemma":0.009821603,"domain_scores_codex":[0.8927056,0.089224,0.004458923,0.003113918,0.0100732,0.0004244267],"domain_scores_gemma":[0.7485226,0.2011454,0.01396264,0.01715615,0.01855665,0.0006565282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008373591,0.001185374,0.1164704,0.002965436,0.002309405,0.0002350905,0.006765383,0.04058246,0.007653257,0.01725133,0.002264021,0.7939443],"study_design_scores_gemma":[0.003767965,0.03966689,0.4175615,0.003979286,0.004761978,0.002546387,0.008039215,0.4039675,0.05188296,0.03739241,0.02516638,0.001267475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2296742,0.002758311,0.7576534,0.0002436957,0.000145381,0.004505227,0.0006959772,0.0004314095,0.003892342],"genre_scores_gemma":[0.4739688,0.002238249,0.5163317,0.0002507669,0.00005893678,0.005582141,0.0006708008,0.0001354821,0.0007631144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0749409,"threshold_uncertainty_score":0.3963301,"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."}}