{"id":"W7111199891","doi":"10.1371/journal.pone.0324954.s003","title":"Vignette Ratings (Tables S2-S3 & Figure S3).","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Honesty; Vignette; Situational ethics; Perception; Deception; Context (archaeology); Disgust; Test (biology)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002090342,0.0007950679,0.0006338004,0.001491433,0.000796075,0.001339751,0.0006698632,0.0009586827,0.4060121],"category_scores_gemma":[0.01845897,0.0003488533,0.0004647782,0.002001233,0.0002225294,0.000874636,0.001015199,0.001452963,0.07405248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009972536,"about_ca_system_score_gemma":0.0005410244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003354201,"about_ca_topic_score_gemma":0.00709131,"domain_scores_codex":[0.998676,0.0006101224,0.0001236387,0.0001211719,0.0003639616,0.0001050203],"domain_scores_gemma":[0.9909071,0.006030749,0.0003970095,0.0004086628,0.001857418,0.0003991461],"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":[0.0009825892,0.001386935,0.00732199,0.001931546,0.0000262994,0.0004604787,0.003761798,0.001122113,0.001492794,0.003414063,0.842192,0.1359074],"study_design_scores_gemma":[0.0003865817,0.00106184,0.05146262,0.0006702945,0.000054564,0.0006496178,0.0126337,0.003009316,0.003489912,0.004952674,0.9213164,0.0003125464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2004957,0.0009767212,0.01704734,0.005498483,0.003866145,0.01816863,0.4725867,0.004378632,0.2769817],"genre_scores_gemma":[0.3023758,0.003044542,0.07692249,0.004606246,0.0006210257,0.03421137,0.2479971,0.001470242,0.3287513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5939879,"threshold_uncertainty_score":0.8472517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658943732384863,"score_gpt":0.2684796943084005,"score_spread":0.2518902569845518,"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."}}