{"id":"W4255283955","doi":"10.3138/ctr.175.x.fm","title":"Front Matter","year":2018,"lang":"en","type":"paratext","venue":"Canadian Theatre Review","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Front (military); History; Visual arts; Art; Geography; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006297322,0.001170247,0.0005511217,0.002090676,0.003372361,0.005265483,0.001043454,0.002642839,0.891108],"category_scores_gemma":[0.004093861,0.000373403,0.0003807807,0.001908605,0.00152464,0.001677429,0.002324056,0.001995888,0.728426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0044581,"about_ca_system_score_gemma":0.0117004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1203981,"about_ca_topic_score_gemma":0.2147665,"domain_scores_codex":[0.999213,0.00005317418,0.00002911738,0.00009083787,0.0003936404,0.0002202489],"domain_scores_gemma":[0.9974284,0.0002945563,0.00008953362,0.0001136536,0.001276042,0.0007977915],"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":[0.0000185088,0.000007519518,0.00007671517,0.0001029202,0.000001176753,0.00004484348,0.0000304131,0.00001921103,0.00006326151,0.001850185,0.9363126,0.0614727],"study_design_scores_gemma":[0.000003782366,0.000002610202,0.0001671726,0.0001152605,7.4096e-7,0.00003782206,0.00007203691,0.000007605316,0.000020428,0.0001602921,0.9994099,0.000002366965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002520242,0.002341376,0.00009941924,0.003490944,0.005638678,0.00003825959,0.001524705,0.000228558,0.9863862],"genre_scores_gemma":[0.001171794,0.001292726,0.00009021175,0.001010254,0.0003689215,0.00001514839,0.0003823352,0.0000784248,0.9955902],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1203981,"threshold_uncertainty_score":0.2393945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221762387636501,"score_gpt":0.2746879163918849,"score_spread":0.2525116776282348,"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."}}