{"id":"W2602257803","doi":"10.1386/public.27.54.192_5","title":"Public Studio, What We Lose in Metrics","year":2016,"lang":"en","type":"article","venue":"Public","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Studio; Architectural engineering; Visual arts; Art; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006978111,0.00009515318,0.0001407105,0.0002500993,0.000162653,0.0005735687,0.0004712296,0.0001113554,0.000874482],"category_scores_gemma":[0.001042445,0.00006207567,0.00004788261,0.00132075,0.0001678983,0.0040655,0.00009342311,0.0001020407,0.0002086641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002624689,"about_ca_system_score_gemma":0.0002377937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003117833,"about_ca_topic_score_gemma":0.002819376,"domain_scores_codex":[0.9984276,0.0001303445,0.0001710641,0.0002273929,0.0004972731,0.0005463731],"domain_scores_gemma":[0.9993144,0.0001118408,0.00008098569,0.0002074022,0.0001225647,0.0001628542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000410874,0.00009075017,0.2181027,0.000007067392,0.00002179848,0.00001108866,0.005670501,1.138025e-7,0.0001110635,0.1958271,0.04084701,0.5393067],"study_design_scores_gemma":[0.0003263052,0.00001547445,0.03194477,0.00002300113,0.000001874699,4.701782e-7,0.001964453,8.310417e-7,0.00006788805,0.01175014,0.9537755,0.0001293084],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5857236,0.003801617,0.0001984593,0.350854,0.00206166,0.0003601049,0.00001358889,0.0001746256,0.05681231],"genre_scores_gemma":[0.9905738,0.004632175,0.00006107653,0.0006637623,0.0003473474,0.00001566856,0.000001126002,0.000009387816,0.003695675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9129285,"threshold_uncertainty_score":0.9574965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07866259836321886,"score_gpt":0.2891880007517644,"score_spread":0.2105254023885455,"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."}}