{"id":"W2315954327","doi":"10.5539/ijel.v6n2p79","title":"Features of Reporting Verbs in Modern English","year":2016,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Discourse Analysis and Cultural Communication","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Modal verb; Meaning (existential); Past tense; Citation; Function (biology); Psychology; Verb; Computer science; Philosophy; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001500428,0.00005965887,0.0001841182,0.0001361239,0.00004139087,0.00004898796,0.0005512092,0.00005742653,0.00004910818],"category_scores_gemma":[0.2285904,0.00004146419,0.0001321633,0.000111738,0.00009901387,0.0001313183,0.00004794214,0.0001402856,4.795377e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001207244,"about_ca_system_score_gemma":0.0001595384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001441752,"about_ca_topic_score_gemma":0.0006492652,"domain_scores_codex":[0.9981223,0.00009998484,0.0009547182,0.00007098071,0.000645476,0.0001065845],"domain_scores_gemma":[0.9767786,0.0002400303,0.001805441,0.0001125866,0.02101138,0.00005193383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003750275,0.0009406084,0.1493906,0.00002678258,0.0008942003,0.0001606458,0.1285984,0.0004937601,0.001422256,0.5246273,0.01670803,0.1763625],"study_design_scores_gemma":[0.001800817,0.0001218479,0.0333203,0.001222666,0.0001440453,0.000001684412,0.03590327,0.00003234284,0.002469681,0.03330236,0.8912982,0.0003827492],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3064844,0.00124229,0.0002514165,0.0005199896,0.01352553,0.00008978953,0.00001674035,0.00002644934,0.6778434],"genre_scores_gemma":[0.9928334,0.0006779449,0.0004732896,0.00002905077,0.005698908,4.971085e-7,0.000001855208,0.000004937411,0.000280055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8745902,"threshold_uncertainty_score":0.7779076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03219380698787278,"score_gpt":0.3614479662657055,"score_spread":0.3292541592778327,"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."}}