{"id":"W2488171025","doi":"10.32920/ryerson.14636646","title":"A Geospatial Web Application to Map Observations and Opinions in Environmental Planning","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"","keywords":"Geospatial analysis; Web mapping; World Wide Web; Perception; Computer science; Geography; Data science; Knowledge management; Web 2.0; The Internet; Remote sensing; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005243442,0.0001133562,0.0001789184,0.0001717917,0.0003684214,0.0001299582,0.0001457441,0.0001566882,0.00003922095],"category_scores_gemma":[0.00006015673,0.0001270364,0.00003846415,0.0001777474,0.0000783058,0.0001402613,0.0004806516,0.0001787215,0.00001579843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000150599,"about_ca_system_score_gemma":0.000148611,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007507418,"about_ca_topic_score_gemma":0.01832052,"domain_scores_codex":[0.9988108,0.00006593078,0.0003287708,0.0002427863,0.0003718477,0.0001798513],"domain_scores_gemma":[0.9995336,0.00006420525,0.0001091166,0.0001721289,0.00004507805,0.00007585584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004765685,0.00007180424,0.780118,0.0001218616,0.00006443624,0.000001937949,0.1874551,0.002534553,0.00006595768,0.025782,0.002176366,0.00160326],"study_design_scores_gemma":[0.0002201998,0.000009887445,0.7589879,0.0001874749,0.00001176513,5.422244e-7,0.1514163,0.001315213,0.000002800481,0.0007794059,0.08671992,0.000348602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9430379,0.0005334937,0.01349555,0.01172389,0.001169237,0.002933417,0.0002768881,0.0001879384,0.02664172],"genre_scores_gemma":[0.9964194,0.00006436928,0.002083359,0.0002296621,0.0001132875,0.0005186131,0.000228852,0.000005508203,0.0003369511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08454355,"threshold_uncertainty_score":0.9995925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03718661804386138,"score_gpt":0.3032859656872062,"score_spread":0.2660993476433448,"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."}}