{"id":"W2999612426","doi":"","title":"The Proximity of Cultural and Creative Activities in Quarters, Territorial Dynamics in Question","year":2015,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gentrification; Economic geography; Context (archaeology); Quarter (Canadian coin); Competition (biology); Social dynamics; Dynamics (music); Urban regeneration; Creative industries; Space (punctuation); Sociology; Geography; Economy; Economic growth; Political science; Social science; Economics; Ecology","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":[0.001161495,0.00009233031,0.0003170185,0.002551988,0.003974521,0.006782216,0.0007748031,0.0008571506,0.01956986],"category_scores_gemma":[0.009195358,0.0001748373,0.0002152903,0.004341193,0.003724951,0.003089178,0.004347228,0.0006295756,0.0009828274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001971693,"about_ca_system_score_gemma":0.001460341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02073153,"about_ca_topic_score_gemma":0.02997366,"domain_scores_codex":[0.9983189,0.000707218,0.00009621883,0.0002422032,0.000168331,0.0004671822],"domain_scores_gemma":[0.9946011,0.001934879,0.001058355,0.0004021831,0.0008438324,0.001159675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008198097,0.0001232863,0.462319,0.0003575293,0.00007141787,0.0008789162,0.3971371,0.0005839008,0.003718732,0.07095099,0.003546426,0.05949288],"study_design_scores_gemma":[0.000007316406,0.00005628066,0.5168546,0.00009353334,0.00001282713,0.0002319877,0.4611688,0.0002590817,0.0002194051,0.005299229,0.01577911,0.00001768351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590918,0.0004938588,0.0006100885,0.001393455,0.0000312543,0.00001277779,0.000216234,0.00001097729,0.0381397],"genre_scores_gemma":[0.9988196,0.0000552876,0.0000792779,0.0000202581,0.000009911141,0.000003895245,0.00002643011,0.000004004646,0.0009812635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02073153,"threshold_uncertainty_score":0.06546777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02884265500790364,"score_gpt":0.2760567490500033,"score_spread":0.2472140940420996,"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."}}