{"id":"W7023651772","doi":"","title":"Performance art gets funding boost","year":2001,"lang":"en","type":"article","venue":"Arca (British Columbia Electronic Library Network)","topic":"Black Holes and Theoretical Physics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics); Performance measurement; Performance indicator","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":[0.002995481,0.0008002151,0.0007050497,0.002147635,0.006893456,0.01493582,0.0009694005,0.006565922,0.319102],"category_scores_gemma":[0.01120687,0.0004634824,0.0005442983,0.002412047,0.001104349,0.003461439,0.004191419,0.004688958,0.1374904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008146795,"about_ca_system_score_gemma":0.01915351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09614089,"about_ca_topic_score_gemma":0.2579999,"domain_scores_codex":[0.9944389,0.0003210357,0.0001098853,0.0002724807,0.003274539,0.001583178],"domain_scores_gemma":[0.9892842,0.0005300546,0.0001429888,0.0004595921,0.004743637,0.00483951],"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":[0.000009703647,0.000006685477,0.00007225978,0.00001741904,9.082979e-7,0.00001180749,0.00002270914,0.000009708665,0.00002882946,0.001246197,0.9878579,0.01071573],"study_design_scores_gemma":[0.000003900268,0.00000413846,0.0008246028,0.00003552415,0.000001309452,0.00001151344,0.00009888432,0.0000129136,0.00003084279,0.0002590746,0.998714,0.000003341804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003054544,0.00813167,0.0003908797,0.1797183,0.0431178,0.0001581135,0.003929032,0.0008195459,0.7606801],"genre_scores_gemma":[0.007796478,0.0025161,0.0002225783,0.009823958,0.00347666,0.00003750071,0.001464691,0.0003094113,0.9743527],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.319102,"threshold_uncertainty_score":0.9712184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004327336621160025,"score_gpt":0.1775889460178143,"score_spread":0.1732616093966543,"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."}}