{"id":"W4245371287","doi":"10.32920/ryerson.14655351","title":"Retrofitting Obsolete Railroad Infrastructure","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Planning and Landscape Design","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Amenity; Retrofitting; Context (archaeology); Public space; Business; Architectural engineering; Urban planning; Environmental planning; Transport engineering; Engineering; Civil engineering; Geography; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002117134,0.0002631783,0.0002725042,0.00002636372,0.00009014012,0.0001618909,0.0003854976,0.0003463864,0.01269006],"category_scores_gemma":[0.000071997,0.0002249896,0.0001282541,0.0001143345,0.00006150476,0.0000648898,0.001216096,0.0007831537,0.0003389245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001158902,"about_ca_system_score_gemma":0.00002917044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002417365,"about_ca_topic_score_gemma":0.00002498079,"domain_scores_codex":[0.9984022,0.00007881248,0.0002400151,0.0006230341,0.0003427583,0.0003131795],"domain_scores_gemma":[0.9991518,0.00004548281,0.0001259293,0.0005541348,0.000007445898,0.0001152587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000007625035,0.00001623606,0.1741008,0.00003316078,0.00004224758,0.0001000148,0.0007882132,0.005402587,0.002355562,0.00001027746,0.8109036,0.006239704],"study_design_scores_gemma":[0.000960857,0.0001060327,0.7184166,0.0005156295,0.0002081551,0.0001400184,0.001258152,0.03081933,0.006110201,0.0008544353,0.2377364,0.002874143],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6824765,0.0003045468,0.003884185,0.0003493126,0.001189267,0.0002697217,0.000020877,0.0003332798,0.3111722],"genre_scores_gemma":[0.9737533,0.0000206804,0.009767511,0.0006889988,0.0001752313,0.00001363909,0.0001728154,0.00003161755,0.01537616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5731672,"threshold_uncertainty_score":0.9882125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009159915435062114,"score_gpt":0.2074286573869206,"score_spread":0.1982687419518585,"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."}}