{"id":"W74188466","doi":"","title":"Editors' Closing: Comic Relief","year":2015,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Comics and Graphic Narratives","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Closing (real estate); Comics; History; Computer science; Political science; Artificial intelligence; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004348652,0.002067183,0.001701739,0.003130952,0.007716978,0.01149025,0.003293648,0.01704493,0.07635947],"category_scores_gemma":[0.02381465,0.0008329957,0.001445385,0.002087111,0.003489619,0.005066612,0.004989575,0.01444793,0.02729796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002661046,"about_ca_system_score_gemma":0.003532558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002558458,"about_ca_topic_score_gemma":0.007134066,"domain_scores_codex":[0.9970318,0.0005758231,0.0002823798,0.0004831834,0.001152336,0.0004744713],"domain_scores_gemma":[0.9876406,0.004835017,0.001052218,0.0009654589,0.003763264,0.0017435],"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":[0.000009850986,0.000005444025,0.00001393223,0.00005247728,0.000002153446,0.00003735593,0.00004133978,0.000006260689,0.0000275897,0.0006048836,0.9956644,0.003534341],"study_design_scores_gemma":[0.000008835822,0.000006889087,0.00009342813,0.00011458,0.000005301369,0.00003774975,0.0001328956,0.00002271519,0.00004590839,0.0003843406,0.9991425,0.000004883221],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001616725,0.004308062,0.0001232691,0.1227658,0.85981,0.00002619567,0.0000711745,0.0001188013,0.01261506],"genre_scores_gemma":[0.003284188,0.003766062,0.0002370736,0.1295867,0.7119424,0.00009116081,0.0001117088,0.0002218431,0.1507588],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.07635947,"threshold_uncertainty_score":0.2554479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1444603477241226,"score_gpt":0.2995661882361141,"score_spread":0.1551058405119915,"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."}}