{"id":"W7101095186","doi":"","title":"SUBURBAN NATION? ESTIMATING THE SIZE OF CANADA’S SUBURBAN POPULATION","year":2013,"lang":"en","type":"article","venue":"","topic":"Place Attachment and Urban Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perception; Population; Relation (database); Level design; Built environment; Urban design; State (computer science)","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":[0.0006750405,0.0003757152,0.0003133281,0.003355284,0.002295373,0.002155148,0.001581938,0.0003915207,0.003752906],"category_scores_gemma":[0.004498228,0.0001768224,0.0005379395,0.006034912,0.0004918866,0.001243406,0.001178675,0.0005949048,0.0005906693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0170499,"about_ca_system_score_gemma":0.02748287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928167,"about_ca_topic_score_gemma":0.9948271,"domain_scores_codex":[0.9993541,0.00005478055,0.00003517831,0.0001019823,0.0002094601,0.0002445935],"domain_scores_gemma":[0.9968749,0.0002097162,0.000304698,0.0001086032,0.001817953,0.0006840115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000279888,0.00002795341,0.9450198,0.00005462046,0.0000666461,0.00007045194,0.001128385,0.0005444263,0.00009355404,0.001663618,0.01931359,0.03198907],"study_design_scores_gemma":[0.000008643056,0.00001573298,0.9577788,0.0001194421,0.00007430489,0.00009125323,0.01050556,0.004067902,0.0002684592,0.0005742031,0.0264616,0.0000341274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.908285,0.003521959,0.003604823,0.006822031,0.0002343144,0.0002810513,0.0395509,0.0002225475,0.03747731],"genre_scores_gemma":[0.9873316,0.001102326,0.002382704,0.0003824354,0.00002971044,0.0001013593,0.005105307,0.00002515047,0.003539506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0170499,"threshold_uncertainty_score":0.1237063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02018586452891318,"score_gpt":0.279573547077797,"score_spread":0.2593876825488838,"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."}}