{"id":"W3122050336","doi":"","title":"A Framework for Defining Innovation Districts: Case Study from 22@ Barcelona","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downtown; Regional science; Creative city; Urban policy; Urban planning; Urban regeneration; Geography; Economic growth; Political science; Environmental planning; Engineering; Civil engineering; Creativity; Economics","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":[0.004498702,0.000403182,0.0003773905,0.002455094,0.007539516,0.006914596,0.002486245,0.00274462,0.004628798],"category_scores_gemma":[0.004087402,0.0004778252,0.0004537925,0.00407217,0.007107323,0.003200887,0.005675898,0.001642863,0.0005488989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01555295,"about_ca_system_score_gemma":0.005723754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04974552,"about_ca_topic_score_gemma":0.1145638,"domain_scores_codex":[0.9928422,0.005548084,0.000191218,0.0003920474,0.0003840997,0.0006423295],"domain_scores_gemma":[0.9961829,0.002364821,0.0003409592,0.0002122905,0.0004602245,0.0004388968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001501727,0.0005106028,0.02619234,0.0006482616,0.00002525283,0.008324393,0.4724605,0.007225068,0.00138886,0.421278,0.009664166,0.05213239],"study_design_scores_gemma":[0.00006188508,0.0001547882,0.01397546,0.000774683,0.00002749839,0.001913078,0.6854511,0.004547281,0.0008464647,0.02999108,0.2621747,0.00008193641],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5973263,0.003780528,0.08854667,0.007749503,0.0001927468,0.001939393,0.0009436654,0.0001478861,0.2993732],"genre_scores_gemma":[0.9464602,0.0008032215,0.03943221,0.0003657062,0.00001119467,0.0007793038,0.0002819406,0.00003450627,0.01183165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04974552,"threshold_uncertainty_score":0.1128451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06369205851734332,"score_gpt":0.3606313594822957,"score_spread":0.2969393009649524,"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."}}