{"id":"W584312691","doi":"","title":"Sankofa : recovering Montreal's heterogeneous black print serials","year":2006,"lang":"en","type":"book","venue":"UMI eBooks","topic":"Art, Politics, and Modernism","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"History; Art; Art history","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":[],"consensus_categories":[],"category_scores_codex":[0.0008540143,0.0009222425,0.0002917995,0.004220274,0.01087198,0.01085421,0.001138333,0.001580167,0.1200078],"category_scores_gemma":[0.003275658,0.0003901733,0.0003086954,0.003533158,0.003846852,0.002958039,0.002375558,0.002587477,0.01313685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0221534,"about_ca_system_score_gemma":0.01235521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7095371,"about_ca_topic_score_gemma":0.8851794,"domain_scores_codex":[0.9993432,0.00006000048,0.000007765006,0.0000790268,0.0003181817,0.0001917832],"domain_scores_gemma":[0.9992796,0.0000913539,0.00002883259,0.0001116924,0.0003244177,0.0001642381],"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":[0.00005915279,0.00002575917,0.0007960125,0.00005171902,0.000007965874,0.0002989791,0.004214353,0.0002621846,0.0003660451,0.1570454,0.7389132,0.09795918],"study_design_scores_gemma":[0.000004678771,0.000003449906,0.0010967,0.00004538945,0.000003404608,0.00003185984,0.001515192,0.00005981959,0.0001576086,0.002648346,0.9944263,0.000007198296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01090397,0.003011321,0.000766633,0.01134709,0.002129454,0.00004358428,0.001011893,0.0004025396,0.9703835],"genre_scores_gemma":[0.04166966,0.0008884884,0.0006635874,0.001069851,0.0002940241,0.00001810134,0.0003552093,0.0003640612,0.954677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2904629,"threshold_uncertainty_score":0.5843469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03725170989599569,"score_gpt":0.2215315583870923,"score_spread":0.1842798484910966,"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."}}