{"id":"W1762581381","doi":"","title":"Critical Analysis of Evasion Techniques in American Political News Interviews","year":2011,"lang":"en","type":"article","venue":"Journal of academic and applied studies","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Evasion (ethics); Dimension (graph theory); Resistance (ecology); Politics; Computer science; Social psychology; Political science; Sociology; Psychology; Mathematics; Law; Pure mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.03094346,0.0008260392,0.0006062398,0.008305938,0.008900513,0.00552922,0.001399725,0.001373177,0.002128511],"category_scores_gemma":[0.07495951,0.0006526047,0.0002533452,0.007663332,0.007826116,0.004685532,0.004668409,0.002485386,0.0003385743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006546177,"about_ca_system_score_gemma":0.003209724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003261185,"about_ca_topic_score_gemma":0.005683312,"domain_scores_codex":[0.9520878,0.04073779,0.001178101,0.001147063,0.003170714,0.00167857],"domain_scores_gemma":[0.8237526,0.1527923,0.006900889,0.002366322,0.01295673,0.001231137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009215463,0.00002224617,0.001185313,0.0001608174,0.000003255082,0.0002401155,0.9836529,0.00002906325,0.001307082,0.004322403,0.0006300699,0.008354592],"study_design_scores_gemma":[0.000007254668,0.00003776164,0.00310638,0.0002721718,0.000005666415,0.0001242391,0.9739372,0.0001847945,0.001160331,0.001384804,0.01976182,0.00001757339],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9404174,0.001342271,0.01269054,0.00312734,0.0002414313,0.0009934871,0.0003728638,0.00005772311,0.04075689],"genre_scores_gemma":[0.987254,0.0007378491,0.005540821,0.0004526066,0.00007678643,0.001135282,0.0001905509,0.00006066699,0.004551504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03094346,"threshold_uncertainty_score":0.1636466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09306263606531086,"score_gpt":0.3789569619707808,"score_spread":0.2858943259054699,"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."}}