{"id":"W1560270388","doi":"10.1446/23269","title":"Arte pubblica e aree urbane: il caso di Barcellona, Montreal, Sydney","year":2006,"lang":"it","type":"article","venue":"Economia della Cultura","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public art; Public space; Cohesion (chemistry); Perception; Social representation; Representation (politics); Public park; Population; Urban planning; Sociology; Political science; Geography; Social science; Psychology; Politics; Civil engineering; Art; Visual arts; Environmental planning; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000512282,0.0007916713,0.0008556487,0.0001052188,0.001618723,0.001470004,0.0009217485,0.0007778705,0.008981097],"category_scores_gemma":[0.00007898206,0.0006889446,0.0004539924,0.0005941665,0.0006159816,0.0007327691,0.000264118,0.0006631862,0.003522855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142536,"about_ca_system_score_gemma":0.0004883257,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04939727,"about_ca_topic_score_gemma":0.02964599,"domain_scores_codex":[0.9953236,0.0001895892,0.001243119,0.001205889,0.0004848504,0.001552961],"domain_scores_gemma":[0.9976887,0.0001629194,0.0005845852,0.0005854955,0.0003137111,0.0006646324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003480083,0.000148751,0.0030068,0.00002049231,0.0001445668,0.00006093144,0.003317206,0.0003266996,0.000110006,0.002514521,0.9852611,0.005054166],"study_design_scores_gemma":[0.0007943269,0.0000607301,0.01672488,0.0000683208,0.0001010597,0.00002383101,0.006014729,0.0002730417,0.0003282204,0.0004522383,0.9740695,0.001089122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4179376,0.002442574,0.000009201889,0.03137694,0.00293659,0.001313997,0.0004106105,0.0003168043,0.5432557],"genre_scores_gemma":[0.4725476,0.0009347635,0.00006319876,0.0005018883,0.002331911,0.00005540965,0.000245866,0.00004610839,0.5232732],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05461001,"threshold_uncertainty_score":0.9996811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02332746528001016,"score_gpt":0.2316440070273884,"score_spread":0.2083165417473783,"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."}}