{"id":"W7011762464","doi":"","title":"Musei e politiche della rappresentazione. L’indigenizzazione della National Gallery of Canada","year":2015,"lang":"it","type":"article","venue":"Florence Research (University of Florence)","topic":"Work-Family Balance Challenges","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Government (linguistics); Headline; Work (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005887465,0.000386104,0.0007961186,0.0008080238,0.001208906,0.00006879812,0.002820079,0.0004750964,0.002183085],"category_scores_gemma":[0.001387749,0.0004794109,0.000230705,0.002580449,0.004616423,0.0007162741,0.0009445028,0.001060807,0.0001630384],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002166675,"about_ca_system_score_gemma":0.02590523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.573003,"about_ca_topic_score_gemma":0.5764214,"domain_scores_codex":[0.9877749,0.001567951,0.0005062262,0.0009290073,0.00727263,0.00194928],"domain_scores_gemma":[0.9907029,0.001330214,0.0004509625,0.0007072626,0.005383856,0.001424862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.001017701,0.001320962,0.05973668,0.0005693961,0.0008847572,0.0003939673,0.1654071,0.002358186,0.001050834,0.02762972,0.7348922,0.004738451],"study_design_scores_gemma":[0.003786774,0.0009545186,0.08114667,0.001083885,0.0001218445,0.0000174282,0.7723295,0.002873787,0.0007583288,0.01047682,0.12483,0.001620453],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6795569,0.002342408,0.0003341234,0.008131228,0.001729569,0.001288796,0.0006780317,0.00008248429,0.3058565],"genre_scores_gemma":[0.9810643,0.005419903,0.0007878653,0.00002566177,0.0005339913,0.000002049866,0.00005775001,0.00002784096,0.01208063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6100623,"threshold_uncertainty_score":0.9997658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1134833521213563,"score_gpt":0.3237916992745386,"score_spread":0.2103083471531823,"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."}}