{"id":"W3189080993","doi":"10.1017/9781108381697.004","title":"Time and Genre","year":2018,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"World Wars: History, Literature, and Impact","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Content (measure theory); Computer science; World Wide Web; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001087419,0.0008421635,0.0009235716,0.007173411,0.002510644,0.01047879,0.001057771,0.0007035523,0.3591448],"category_scores_gemma":[0.006948143,0.0003963263,0.0006980933,0.01075782,0.001352122,0.01031967,0.00306434,0.002390064,0.2034526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002130193,"about_ca_system_score_gemma":0.001506219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003238177,"about_ca_topic_score_gemma":0.005191468,"domain_scores_codex":[0.9984139,0.0002172408,0.0001208486,0.0002944711,0.0007535146,0.0001999775],"domain_scores_gemma":[0.9976735,0.0004933338,0.0001301869,0.0003262085,0.0008956635,0.0004811382],"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":[0.00007647794,0.00003008996,0.0003314202,0.0006495642,0.000008303893,0.00008523159,0.00248171,0.00004031242,0.000791195,0.08111874,0.7509049,0.1634821],"study_design_scores_gemma":[0.000001946727,0.000006397835,0.0003386908,0.0001914236,0.000001670064,0.00005296967,0.0003763977,0.000006306525,0.0000659158,0.00278088,0.9961736,0.000003776094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001176358,0.008839037,0.001447016,0.002607779,0.006943602,0.0001270366,0.009443657,0.0004818854,0.9689336],"genre_scores_gemma":[0.009210001,0.01085384,0.00135718,0.0009382909,0.001651048,0.0001741736,0.00618623,0.001814384,0.9678149],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3591448,"threshold_uncertainty_score":0.9141022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685442060066025,"score_gpt":0.212132769342221,"score_spread":0.1952783487415607,"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."}}