{"id":"W4413838681","doi":"10.24908/iqurcp19871","title":"Using Ground Penetrating Radar to Study Kingston's Community Gardens Over Time","year":2025,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Remote sensing; Radar; Environmental science; Geography; Meteorology; Computer science; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002939832,0.0001683949,0.0001911342,0.001252521,0.001578614,0.0009510171,0.0005841016,0.0003293545,0.001503146],"category_scores_gemma":[0.0008987855,0.0002456897,0.0001361171,0.001385667,0.0008116149,0.0004494317,0.001226301,0.0004695744,0.0003163666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002388127,"about_ca_system_score_gemma":0.001999471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2652648,"about_ca_topic_score_gemma":0.6523423,"domain_scores_codex":[0.9997284,0.00004209512,0.000008578936,0.00007037617,0.0000779601,0.00007263203],"domain_scores_gemma":[0.9990684,0.0001091484,0.000167028,0.00007755252,0.00034868,0.00022922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002637279,0.0004058913,0.8009269,0.000150101,0.00005246303,0.005096884,0.1124049,0.0004522861,0.01278856,0.0004385625,0.002660637,0.06435907],"study_design_scores_gemma":[0.000007753814,0.0002711075,0.8640447,0.00002827747,0.00001685847,0.0006706032,0.1246376,0.0004553598,0.001134677,0.0001153274,0.008581573,0.00003609297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974862,0.00003700345,0.0001998805,0.0000726435,0.000002765473,0.00003952407,0.0001517468,0.000008394882,0.002001856],"genre_scores_gemma":[0.9916983,0.0001566773,0.002225174,0.00008198946,0.000004163971,0.00004183254,0.0001755009,0.00001122575,0.005605206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7347353,"threshold_uncertainty_score":0.5274415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1269495572453418,"score_gpt":0.3711478599121041,"score_spread":0.2441983026667623,"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."}}