{"id":"W193488217","doi":"","title":"Territorial manoeuvres: space and place in Canadian cities","year":2001,"lang":"en","type":"article","venue":"UCL Discovery (University College London)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Space (punctuation); Geography; 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":[0.001245185,0.0003844986,0.0006151145,0.004857777,0.02546518,0.009101201,0.002599748,0.001226923,0.00799512],"category_scores_gemma":[0.004385896,0.0005248597,0.0006156053,0.01617523,0.01256051,0.002571619,0.005537869,0.002248273,0.0003237564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1151446,"about_ca_system_score_gemma":0.1066091,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981548,"about_ca_topic_score_gemma":0.9995517,"domain_scores_codex":[0.997642,0.0002684882,0.0000578422,0.0002018021,0.0006621551,0.001167684],"domain_scores_gemma":[0.996626,0.0003816015,0.0003954971,0.0001366549,0.001531157,0.0009290456],"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":[0.0003636655,0.0001224421,0.2110054,0.000569773,0.0001414824,0.0006772991,0.4572755,0.002822208,0.0008043989,0.1692357,0.04173044,0.1152516],"study_design_scores_gemma":[0.0000109599,0.00003359598,0.4119238,0.0003131115,0.00006887835,0.000153663,0.4441925,0.0007187056,0.0002070208,0.003657377,0.1385576,0.0001627925],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8791437,0.006727164,0.0007820014,0.007416833,0.0001478193,0.00004704213,0.001524415,0.0000543618,0.1041567],"genre_scores_gemma":[0.9897932,0.001493361,0.0003083797,0.0001143568,0.00001502529,0.0000104724,0.000223687,0.00002156202,0.008020058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1151446,"threshold_uncertainty_score":0.8354368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005723606063152752,"score_gpt":0.181684769915485,"score_spread":0.1759611638523323,"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."}}