{"id":"W7067369918","doi":"","title":"<Originals>The quotative be+like and the historical present in spoken English","year":2021,"lang":"en","type":"other","venue":"Kyoto University Research Information Repository (Kyoto University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Narrative; Perspective (graphical); Event (particle physics); American English; Indirect speech; Grammaticalization; Function (biology); British English","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":[],"consensus_categories":[],"category_scores_codex":[0.0009405221,0.000296613,0.0002108016,0.002193441,0.001334691,0.002585936,0.0003382812,0.000298243,0.0355635],"category_scores_gemma":[0.004427653,0.0001688914,0.0001255908,0.003708438,0.001905289,0.002183826,0.001067463,0.0007541663,0.006231959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559925,"about_ca_system_score_gemma":0.0007892317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01643755,"about_ca_topic_score_gemma":0.02078344,"domain_scores_codex":[0.9994431,0.0002100843,0.00005039019,0.00007179329,0.0001924205,0.00003220313],"domain_scores_gemma":[0.9971409,0.001570749,0.0001782857,0.0003557546,0.0006587603,0.00009555375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002459204,0.0001138501,0.009904535,0.001978336,0.0000199987,0.001218994,0.1040909,0.0002633335,0.004433556,0.226628,0.411846,0.2392567],"study_design_scores_gemma":[0.000006129783,0.00001541936,0.01682881,0.0002559542,0.000006951097,0.0004523946,0.01349976,0.0002794639,0.0007682094,0.003686412,0.9641836,0.00001705272],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09586395,0.00747427,0.008215737,0.01096882,0.004816599,0.0001628304,0.0176963,0.0002668716,0.8545346],"genre_scores_gemma":[0.6299595,0.01131838,0.005292208,0.001126736,0.002160566,0.0002626823,0.01365309,0.001136019,0.3350909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0355635,"threshold_uncertainty_score":0.1189718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0264587085764241,"score_gpt":0.2510150162948683,"score_spread":0.2245563077184442,"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."}}