{"id":"W6998671189","doi":"","title":"2009.11_At Land: Bodyscape & Cityscape (172.2009), Newsletter","year":2009,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cityscape; Exhibition; Thursday; Contextualization; Representation (politics); Variety (cybernetics); Symbol (formal); Legibility","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002967281,0.0007702686,0.0003809782,0.000713077,0.002007366,0.003858064,0.0007659901,0.001588062,0.8168939],"category_scores_gemma":[0.0006192553,0.0004886576,0.0003979577,0.000946934,0.0003051923,0.002106868,0.002703425,0.001686766,0.6765672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000925235,"about_ca_system_score_gemma":0.0008603811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01109314,"about_ca_topic_score_gemma":0.04985087,"domain_scores_codex":[0.9998399,0.00001705858,0.000006637025,0.00002906928,0.00006087924,0.00004639339],"domain_scores_gemma":[0.999658,0.00003444316,0.00001923772,0.00003366576,0.00009129346,0.0001634293],"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":[0.00002515394,0.00001315257,0.00009931797,0.00004964902,0.000001007219,0.00004121696,0.00005486398,0.000008121738,0.0001333909,0.0003298258,0.9774781,0.02176615],"study_design_scores_gemma":[0.000003837652,0.000005518189,0.0007560849,0.00006316865,6.385093e-7,0.00002383706,0.0001231694,0.000008530469,0.00005110409,0.00004494099,0.9989156,0.000003726927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008977982,0.002114968,0.0002155268,0.002859046,0.004011513,0.00006721399,0.006340713,0.001153064,0.9823401],"genre_scores_gemma":[0.001306209,0.0006644543,0.0001103052,0.0005856026,0.0002969293,0.0000275717,0.001422589,0.0003749546,0.9952113],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8168939,"threshold_uncertainty_score":0.2611787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129697575181649,"score_gpt":0.2401141360431238,"score_spread":0.2288171602913073,"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."}}