{"id":"W2767765401","doi":"10.1515/text-2017-0025","title":"Documenting knowledge mobilization: a quantitative analysis of citation and reported speech in a Canadian public inquiry","year":2017,"lang":"en","type":"article","venue":"Text and Talk","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conviction; Citation; Rhetorical question; Attribution; Construal level theory; Distancing; Psychology; Public relations; Political science; Sociology; Social psychology; Linguistics; Law","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":["bibliometrics","sts"],"consensus_categories":[],"category_scores_codex":[0.02409399,0.0005150143,0.0009162386,0.0310902,0.006764245,0.005918092,0.00193751,0.00101352,0.002140984],"category_scores_gemma":[0.1243156,0.0003697221,0.0003858359,0.0297961,0.005601895,0.001594065,0.004572325,0.001174204,0.0003153211],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02363992,"about_ca_system_score_gemma":0.02145098,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4875235,"about_ca_topic_score_gemma":0.5782296,"domain_scores_codex":[0.9725572,0.009533832,0.002335593,0.001548999,0.01221052,0.0018139],"domain_scores_gemma":[0.8001923,0.1196036,0.02232334,0.004476189,0.05047908,0.002925524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001876932,0.000150722,0.1404665,0.0007110059,0.00006636548,0.0004752322,0.796863,0.0003059393,0.005758083,0.003472002,0.001567427,0.04997613],"study_design_scores_gemma":[0.00001238075,0.0001610882,0.4597987,0.0004555896,0.00007953012,0.000213956,0.5115593,0.0016467,0.003778585,0.000955173,0.0211165,0.0002225087],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832166,0.0003139432,0.002371533,0.0004102532,0.00003636243,0.0004249963,0.002166792,0.00006291457,0.01099659],"genre_scores_gemma":[0.9907799,0.0003259171,0.003240456,0.00008857219,0.00004671702,0.000706694,0.0009500353,0.0000475942,0.003813914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9932358,"threshold_uncertainty_score":0.9693716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.105566696113518,"score_gpt":0.3582140005737705,"score_spread":0.2526473044602525,"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."}}