{"id":"W2371040825","doi":"","title":"No Little Plans: Alternative Building and Transportation Visions for Toronto. CITY OF TORONTO ARCHIVES","year":2016,"lang":"en","type":"article","venue":"Archivaria (Association of Canadian Archivists)","topic":"Architecture, Modernity, and Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vision; Media studies; Political science; Transport engineering; History; Sociology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002281795,0.0001877554,0.0003076591,0.000160842,0.0001052017,0.00001398932,0.0001930272,0.00005381148,0.00004842041],"category_scores_gemma":[0.0001880357,0.0001695239,0.0001158358,0.00004639778,0.00007106046,0.0002146835,0.00001062266,0.00007692706,0.00000139745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002531183,"about_ca_system_score_gemma":0.0001339244,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06395525,"about_ca_topic_score_gemma":0.399626,"domain_scores_codex":[0.9986976,0.00006717838,0.0004130975,0.0002311772,0.0002078398,0.0003831213],"domain_scores_gemma":[0.9981922,0.001120115,0.0001624939,0.0001913923,0.00005916525,0.0002746411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0007647009,0.0002295296,0.05832562,0.001326564,0.002026859,0.000008756142,0.06131567,0.002600946,0.2217169,0.4304158,0.005706867,0.2155618],"study_design_scores_gemma":[0.002907343,0.0004125363,0.7940323,0.0005492277,0.0001563301,0.000002057109,0.000123627,0.01268098,0.007405036,0.1460234,0.0348829,0.000824269],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2292704,0.0006007121,0.5799695,0.0005477118,0.0008552556,0.001627347,0.008717568,0.0002174279,0.1781941],"genre_scores_gemma":[0.9821918,0.000509873,0.0165954,0.00003850423,0.0001372989,0.00003735509,0.00006453948,0.00003719194,0.0003880422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7529213,"threshold_uncertainty_score":0.942278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004802887103396,"score_gpt":0.2191394439183061,"score_spread":0.2090914150472721,"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."}}