{"id":"W2529427039","doi":"10.1017/cbo9781139583800.006","title":"Intensifiers: upping the ante – <i>super</i> cool!","year":2016,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Media Influence and Health","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Front (military); Political science; Engineering; Mechanical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0009054301,0.0006548573,0.0002493333,0.0006736703,0.00362316,0.004621196,0.000646167,0.001448696,0.04275632],"category_scores_gemma":[0.001875833,0.0003632253,0.0003137797,0.0003792001,0.00441413,0.008289512,0.003471967,0.005752635,0.01907253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001353809,"about_ca_system_score_gemma":0.0009872947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004056748,"about_ca_topic_score_gemma":0.01061582,"domain_scores_codex":[0.9994097,0.0002504912,0.00001512451,0.00006704818,0.0001677931,0.00008995136],"domain_scores_gemma":[0.9995173,0.0001809785,0.0000349555,0.00004664137,0.0001217801,0.00009833512],"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":[0.00009450889,0.00006500688,0.0004992312,0.0003017595,0.000007603478,0.000411671,0.07459448,0.00005403845,0.002057811,0.2511622,0.5436297,0.1271219],"study_design_scores_gemma":[0.00000355632,0.00001398879,0.0003516544,0.0002531155,0.000003400484,0.0001412448,0.007863112,0.0000256119,0.0003152646,0.005349958,0.9856719,0.000007301376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004325039,0.005711412,0.002484665,0.01366339,0.003233375,0.00004759158,0.00006663185,0.000210379,0.9702575],"genre_scores_gemma":[0.06168253,0.00508482,0.002706812,0.008988405,0.001094626,0.0001084969,0.00008325903,0.0006986131,0.9195524],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04275632,"threshold_uncertainty_score":0.1430342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05549249619256443,"score_gpt":0.206647560483127,"score_spread":0.1511550642905626,"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."}}