{"id":"W6948084812","doi":"10.48448/rqaa-7k56","title":"Detecting Contextomized Quotes in News Headlines by Contrastive Learning","year":2023,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Headline; Context (archaeology); Credibility; Appeal; Matching (statistics); Sign (mathematics); Code (set theory)","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":[0.001780847,0.00142766,0.0005285045,0.004032792,0.0008020824,0.002325509,0.001097293,0.001718574,0.005477258],"category_scores_gemma":[0.0119304,0.0002886763,0.0006201657,0.002053195,0.0007765072,0.002749436,0.001912411,0.001691004,0.007627191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000645199,"about_ca_system_score_gemma":0.0006522755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002607712,"about_ca_topic_score_gemma":0.008208331,"domain_scores_codex":[0.9983341,0.0004612883,0.0001379508,0.0006170617,0.000333599,0.0001160473],"domain_scores_gemma":[0.9937959,0.003310189,0.0007362509,0.0009300926,0.0009807803,0.0002468117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001896031,0.0009673684,0.06001619,0.002831646,0.0002718353,0.001545085,0.002562225,0.007721586,0.03567598,0.007213268,0.4087291,0.4705698],"study_design_scores_gemma":[0.0005731905,0.000814532,0.0711913,0.001183252,0.0003815944,0.003056229,0.005873295,0.2808264,0.07697149,0.04193361,0.5168463,0.0003488621],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5688936,0.01571333,0.1204418,0.004096877,0.004426518,0.00117902,0.199717,0.03427559,0.05125621],"genre_scores_gemma":[0.5819232,0.001646433,0.1403221,0.001156082,0.001287496,0.0008059405,0.2518059,0.001750926,0.01930188],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005477258,"threshold_uncertainty_score":0.01832324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02239589249531403,"score_gpt":0.3159606261626758,"score_spread":0.2935647336673618,"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."}}