{"id":"W4233199001","doi":"10.32920/14639175.v1","title":"The barriers to millennials visiting Rouge Urban National Park","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Visitor pattern; Recreation; National park; Urbanization; Tourism; Geography; Population; Advertising; Environmental planning; Business; Political science; Sociology; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001025215,0.0001051486,0.0001497888,0.0004983026,0.005149031,0.002306089,0.0007553718,0.0003437754,0.005828232],"category_scores_gemma":[0.004107674,0.0001751432,0.0001625889,0.0007961349,0.001695619,0.0007725614,0.002748258,0.00102212,0.0002011386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009417378,"about_ca_system_score_gemma":0.01472779,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8736767,"about_ca_topic_score_gemma":0.9497096,"domain_scores_codex":[0.999073,0.000158175,0.00002082389,0.00008139588,0.0002371695,0.0004293806],"domain_scores_gemma":[0.996669,0.0006920532,0.0003920644,0.00008497573,0.000768698,0.00139317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001060742,0.000146104,0.8067862,0.0002062534,0.00004247289,0.0006678287,0.1113922,0.0004103934,0.0005728714,0.01572138,0.01136783,0.05258027],"study_design_scores_gemma":[0.000005000212,0.00003694663,0.7244184,0.0002347355,0.00001384088,0.000166836,0.246452,0.0004347853,0.0001383372,0.0007887325,0.02727353,0.00003682783],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762466,0.0004080348,0.0001656807,0.002094476,0.00001306323,0.00002581005,0.0001738632,0.000005135405,0.02086736],"genre_scores_gemma":[0.9959733,0.0004522626,0.0001736928,0.0001221197,0.000002416104,0.00001132453,0.00006597485,0.000004702596,0.003194152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1263233,"threshold_uncertainty_score":0.2541344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805700896736989,"score_gpt":0.2753563831158662,"score_spread":0.2572993741484963,"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."}}