{"id":"W2599081406","doi":"","title":"Hamilton : Ontario's busy industrial district","year":2016,"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; Transport engineering; Archaeology; Aeronautics; Geography; Civil 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":[0.0003038218,0.0005089505,0.0003573741,0.002182837,0.02434148,0.00602208,0.001293807,0.001442171,0.1241224],"category_scores_gemma":[0.001119094,0.0006094778,0.0003351897,0.007812291,0.002561525,0.001452807,0.001757606,0.00133793,0.007337129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09788726,"about_ca_system_score_gemma":0.2086671,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.996998,"about_ca_topic_score_gemma":0.9995496,"domain_scores_codex":[0.9991048,0.00004491651,0.00002279801,0.00007130751,0.0003443523,0.0004119152],"domain_scores_gemma":[0.9987256,0.00005760017,0.0000552455,0.00002852073,0.0006399775,0.0004930769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008413817,0.00003249506,0.0138359,0.0004053059,0.00001662657,0.0008416212,0.008422829,0.0003165329,0.0003859786,0.05603294,0.8288084,0.09081736],"study_design_scores_gemma":[0.000007184241,0.000005868977,0.02309155,0.0001014334,0.000007733423,0.00005826179,0.00656747,0.00005280719,0.00005502418,0.0007921144,0.969244,0.00001658375],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0521788,0.0121314,0.0007081781,0.0372682,0.001443151,0.0002842811,0.01504115,0.0003550997,0.8805897],"genre_scores_gemma":[0.0945619,0.004815774,0.0009016096,0.001420411,0.00009797591,0.000063582,0.00140402,0.0001169829,0.8966177],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1241224,"threshold_uncertainty_score":0.7102251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329056627397383,"score_gpt":0.2202251219010933,"score_spread":0.1969345556271195,"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."}}