{"id":"W2618326000","doi":"","title":"Goderich-Exeter's West End : a colorful G&W operation in Ontario","year":2017,"lang":"en","type":"article","venue":"Railfan and Railroad","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Engineering; Archaeology; Telecommunications; History; Forensic engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006522105,0.0002375435,0.0002753731,0.0006056369,0.04756286,0.004890538,0.001086078,0.00304048,0.0139217],"category_scores_gemma":[0.00139072,0.0004284528,0.0002686982,0.001727487,0.008181039,0.001792296,0.003628625,0.003631381,0.0006704314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06575304,"about_ca_system_score_gemma":0.1127519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9896366,"about_ca_topic_score_gemma":0.9986803,"domain_scores_codex":[0.9984015,0.0001206128,0.00001775744,0.0001062851,0.0002621939,0.001091723],"domain_scores_gemma":[0.9985972,0.0000974241,0.00007616643,0.00003432134,0.000267659,0.0009272512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002671694,0.00009428168,0.05655722,0.0001904095,0.00003248852,0.009678385,0.511949,0.0003937987,0.003548069,0.1589616,0.2098692,0.04845843],"study_design_scores_gemma":[0.000008747169,0.00003058459,0.0566522,0.00008041599,0.00001659804,0.000364032,0.2950809,0.0001216506,0.0003149798,0.001498961,0.64578,0.00005082822],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7080381,0.001750189,0.0007582846,0.07039256,0.0007963429,0.00008441204,0.0004735294,0.00008138306,0.2176252],"genre_scores_gemma":[0.6996333,0.0007630743,0.0003621045,0.004375751,0.00004981903,0.0000174312,0.00007868618,0.00007837844,0.2946415],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06575304,"threshold_uncertainty_score":0.477074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975029540452447,"score_gpt":0.2535570902062519,"score_spread":0.2338067948017274,"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."}}