{"id":"W4406245878","doi":"10.25765/sauc.v2i2.51","title":"Street Art: Visual scenes and the digital circulation of images","year":2016,"lang":"en","type":"article","venue":"Street Art & Urban Creativity","topic":"Public Spaces through Art","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Visibility; Visual arts; Digital media; Social media; Digital art; Circulation (fluid dynamics); Geography; Art; Computer science; Art history; World Wide Web; Performance art; Engineering; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000612486,0.0002056808,0.0001040402,0.001902957,0.002868176,0.01017086,0.0003342827,0.0006989844,0.006086209],"category_scores_gemma":[0.001691056,0.0001436394,0.000157554,0.001965358,0.01592719,0.004441669,0.002623232,0.0007402756,0.0003246122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002001742,"about_ca_system_score_gemma":0.0009549082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007873827,"about_ca_topic_score_gemma":0.01276917,"domain_scores_codex":[0.9994391,0.0002927633,0.00001511272,0.0000643063,0.000104264,0.00008441842],"domain_scores_gemma":[0.9993345,0.0003193798,0.0001100044,0.00009990255,0.00006438118,0.00007191149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005810734,0.00001948302,0.003642241,0.0001598311,0.00001138032,0.0005849041,0.1934715,0.0002703797,0.001454932,0.7478207,0.004613778,0.04789276],"study_design_scores_gemma":[0.00002996276,0.00008871284,0.03370586,0.0006199865,0.00003782335,0.002784874,0.2514832,0.0008734635,0.001858742,0.1427596,0.5657004,0.00005736883],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2379701,0.004844603,0.007269185,0.004789956,0.0001732174,0.0000359078,0.0002133441,0.00009748185,0.7446063],"genre_scores_gemma":[0.9868913,0.00102602,0.001403692,0.0001760079,0.00009298645,0.00001457987,0.00003732216,0.00003438259,0.01032374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01017086,"threshold_uncertainty_score":0.02036035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01446147967940544,"score_gpt":0.2902981701927373,"score_spread":0.2758366905133319,"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."}}