{"id":"W4234547461","doi":"10.32920/ryerson.14646474","title":"Emergence and Uncertainty in Urban Landscapes : A Model for the Toronto Public Landscape","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Landscape and Cultural Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urbanism; Public space; Landscape architecture; Sociology; Architecture; Media studies; History; Archaeology; Civil engineering; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001743719,0.0002585183,0.0003381529,0.00001911454,0.0003961223,0.0005692187,0.0002515693,0.0000911178,0.002465731],"category_scores_gemma":[0.00003170492,0.0001315883,0.000136582,0.00001596189,0.00006330671,0.0001895202,0.0004583102,0.0001772066,0.000001711674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002199165,"about_ca_system_score_gemma":0.00005840397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003227692,"about_ca_topic_score_gemma":0.5167495,"domain_scores_codex":[0.9988772,0.00002465139,0.0002642068,0.0003889689,0.0001464265,0.0002985457],"domain_scores_gemma":[0.9993603,0.0001043292,0.00007544177,0.0002379348,0.0001741961,0.00004781143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000956709,0.0002158534,0.00476821,0.0006094055,0.0007878648,0.000005500043,0.4241507,0.003433028,0.000006518239,0.1861039,0.3679731,0.01185023],"study_design_scores_gemma":[0.0008197197,0.00005465447,0.0004646461,0.0001205813,0.0001564417,0.000001755132,0.1986836,0.5990254,0.00000207785,0.003381506,0.1965258,0.0007637418],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3472185,0.229616,0.00126093,0.02888563,0.003940635,0.004336914,0.0007168165,0.0005086357,0.3835159],"genre_scores_gemma":[0.9793981,0.004087663,0.00004964432,0.0004341733,0.0005342168,0.0004297587,0.0001014202,0.00001593449,0.01494909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6321796,"threshold_uncertainty_score":0.9984462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05881958230625153,"score_gpt":0.2506514634113018,"score_spread":0.1918318811050503,"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."}}