{"id":"W3105988502","doi":"10.1080/09647775.2020.1836998","title":"Museums in perilous times","year":2020,"lang":"en","type":"article","venue":"Museum Management and Curatorship","topic":"Innovation, Sustainability, Human-Machine Systems","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canmore Museum and Geoscience Centre","funders":"","keywords":"History","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":[0.0009366088,0.0001398729,0.0001754015,0.0001396573,0.0003198992,0.0001882077,0.0002386379,0.00006544372,0.0002273161],"category_scores_gemma":[0.0001629005,0.0001421573,0.00003517172,0.000797825,0.00014422,0.0003006954,0.0001055327,0.000130331,0.00004132254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001074783,"about_ca_system_score_gemma":0.00003981464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009853104,"about_ca_topic_score_gemma":0.001032035,"domain_scores_codex":[0.9984159,0.0002664801,0.0002880082,0.0003357258,0.0003342638,0.000359621],"domain_scores_gemma":[0.9995551,0.00004305849,0.00007396151,0.0001546122,0.00006353665,0.0001097417],"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":[0.00002684681,0.00005718087,0.1421765,0.0002988947,0.00002626405,0.00003761485,0.05422981,0.00001029382,0.000004862111,0.7955855,0.005157209,0.002389075],"study_design_scores_gemma":[0.001183539,0.0001273734,0.1125978,0.00006650821,0.00003446543,5.478774e-7,0.1067838,0.000398213,0.00001237068,0.01831162,0.7597613,0.0007224267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8143451,0.0003525179,0.0002329785,0.02575785,0.0004945836,0.001418242,0.00000278184,0.0003466636,0.1570493],"genre_scores_gemma":[0.9975425,0.00003445768,0.0000473713,0.0008382028,0.0003046576,0.0000435453,0.000005329986,0.00001517394,0.001168785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7772738,"threshold_uncertainty_score":0.5797007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0312523924098328,"score_gpt":0.2912845840267326,"score_spread":0.2600321916168998,"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."}}