{"id":"W4383454654","doi":"10.1515/9780773558441-001","title":"Tables and Figures","year":2019,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"History; Computer science","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":["insufficient_payload"],"category_scores_codex":[0.001932974,0.001436309,0.001676461,0.01335566,0.002383339,0.005716497,0.002189012,0.001007497,0.7163109],"category_scores_gemma":[0.03852092,0.0007792666,0.001003136,0.03307564,0.0007671363,0.002067224,0.001372305,0.00185222,0.3536879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006742227,"about_ca_system_score_gemma":0.01201358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1528668,"about_ca_topic_score_gemma":0.1296331,"domain_scores_codex":[0.9960759,0.0004335105,0.0005519916,0.0004600934,0.002072122,0.0004062088],"domain_scores_gemma":[0.9577783,0.01171446,0.002116699,0.002548477,0.02467323,0.001168823],"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":[0.00001758935,0.000009502771,0.0001299587,0.0004923104,0.000007601398,0.0000122821,0.0000233325,0.0001903108,0.00002112668,0.001767799,0.9873338,0.009994351],"study_design_scores_gemma":[0.00002349997,0.000007320511,0.0009901271,0.0004717096,0.000006461844,0.00001954161,0.00007296657,0.00008052782,0.0000303226,0.00151736,0.9967663,0.00001389196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002707941,0.001455205,0.001262944,0.00171922,0.005184397,0.0007890789,0.9053477,0.001448806,0.08252189],"genre_scores_gemma":[0.00513,0.006804772,0.005487369,0.002232631,0.002598181,0.002512079,0.7802671,0.001710205,0.1932578],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2836891,"threshold_uncertainty_score":0.4046481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02898158857063041,"score_gpt":0.2237954819270096,"score_spread":0.1948138933563792,"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."}}