{"id":"W4254309368","doi":"10.32920/ryerson.14655351.v1","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; Public transport; Transport engineering; Environmental planning; Civil engineering; Engineering; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001000332,0.00033328,0.0001900754,0.0006133117,0.0006285144,0.003221524,0.0010842,0.0006672881,0.006669042],"category_scores_gemma":[0.001885286,0.0002772585,0.0003712523,0.0007368441,0.001546917,0.002191351,0.002248264,0.0008369448,0.001332741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001384913,"about_ca_system_score_gemma":0.001299502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002495246,"about_ca_topic_score_gemma":0.007620287,"domain_scores_codex":[0.998901,0.0003843802,0.0000385331,0.0001564684,0.0003352208,0.0001842917],"domain_scores_gemma":[0.9990165,0.0001490482,0.0001336394,0.0004166873,0.0002020181,0.00008209804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002482324,0.0002776216,0.0176081,0.0009927072,0.0001129133,0.001603184,0.01116198,0.0780768,0.03005197,0.4628158,0.01241326,0.3846375],"study_design_scores_gemma":[0.00009496311,0.001435228,0.02331944,0.0007563726,0.0001983392,0.002155385,0.02049218,0.06599414,0.02546415,0.122371,0.7375817,0.0001371102],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6130689,0.001703726,0.1960183,0.002641204,0.0003902263,0.0001757037,0.0002466354,0.0009888787,0.1847664],"genre_scores_gemma":[0.9415222,0.0009741305,0.03178904,0.0001687901,0.0000361784,0.00006537469,0.0001357052,0.0002282351,0.02508041],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006669042,"threshold_uncertainty_score":0.0223102,"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."}}