{"id":"W2791335088","doi":"","title":"Canadian perceptions of urban shrinkage policies, strategies and prospects","year":2016,"lang":"en","type":"other","venue":"ORCA Online Research @Cardiff (Cardiff University)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Shrinkage; Perception; Geography; Political science; Psychology; Mathematics; Statistics","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":[0.001610887,0.0003749559,0.0001997931,0.002580983,0.01802993,0.00720449,0.0009782643,0.001143771,0.02213578],"category_scores_gemma":[0.004487145,0.0002696503,0.0003481758,0.004945348,0.005248517,0.001624358,0.00284151,0.001970512,0.0005775],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09419712,"about_ca_system_score_gemma":0.1159005,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936771,"about_ca_topic_score_gemma":0.998076,"domain_scores_codex":[0.9971586,0.0002743995,0.00004518665,0.0001188046,0.001109257,0.001293697],"domain_scores_gemma":[0.9970111,0.0003229582,0.000228316,0.00005557251,0.001129189,0.001252839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004217536,0.0002458062,0.1301564,0.0003692519,0.00005904385,0.001128543,0.2547187,0.001609931,0.001515705,0.2857409,0.1902238,0.1338103],"study_design_scores_gemma":[0.0000231258,0.00003967287,0.141966,0.0002929362,0.00003056005,0.0001317659,0.4154741,0.000438254,0.0004220293,0.005386788,0.435674,0.0001207444],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4849218,0.002074254,0.0003136438,0.03370039,0.0001278564,0.00005523653,0.001057806,0.00004177643,0.4777073],"genre_scores_gemma":[0.9376263,0.001871349,0.000230551,0.001129897,0.00001733817,0.00001467904,0.0002340655,0.00002515359,0.05885067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9058028,"threshold_uncertainty_score":0.6834512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03649563017834846,"score_gpt":0.2888915530782504,"score_spread":0.252395922899902,"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."}}