{"id":"W2905671978","doi":"10.7202/1054385ar","title":"No Small Matter: Micromuseums as Critical Institutions","year":2018,"lang":"fr","type":"article","venue":"RACAR Revue d art canadienne","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Humanities; Political science; Art; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004522876,0.0004515163,0.0003921651,0.002183445,0.01579302,0.01589074,0.001711257,0.003317907,0.00934831],"category_scores_gemma":[0.007933587,0.0003118719,0.0002439568,0.001811875,0.07786346,0.01051676,0.01157319,0.004121132,0.0008212517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02199286,"about_ca_system_score_gemma":0.0138548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03626024,"about_ca_topic_score_gemma":0.06213354,"domain_scores_codex":[0.9958181,0.002258922,0.00005713464,0.0003701973,0.000452449,0.001043281],"domain_scores_gemma":[0.9944389,0.003054311,0.0005717477,0.000519076,0.0004373384,0.0009787258],"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":[0.000006522111,0.000003780083,0.000234453,0.00001803172,0.000001551114,0.00005724362,0.0269678,0.00005739832,0.0000338665,0.967545,0.001892551,0.003181926],"study_design_scores_gemma":[0.00001965194,0.00002201562,0.001575188,0.0003547084,0.00001038692,0.0001178251,0.07353791,0.0003166329,0.0002566106,0.5112867,0.4124844,0.00001802548],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1132782,0.01388554,0.008042101,0.06551776,0.0005040171,0.00008635125,0.00003752496,0.00007631729,0.7985722],"genre_scores_gemma":[0.9479242,0.002032827,0.0006413657,0.001756136,0.000167075,0.00005649635,0.00001099193,0.00004515955,0.0473657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03626024,"threshold_uncertainty_score":0.1595701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05986048720879517,"score_gpt":0.287531567978679,"score_spread":0.2276710807698838,"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."}}