{"id":"W4398684812","doi":"10.7910/dvn/mma4xl","title":"Replication data for: Unrevaling Ambiguity Aversion","year":2023,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Replication (statistics); Ambiguity; Ambiguity aversion; Computer science; Psychology; Biology; Programming language; Virology","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.01016212,0.001800842,0.00140135,0.003642649,0.001365339,0.004813644,0.004427642,0.003628421,0.08323912],"category_scores_gemma":[0.08451037,0.0007365897,0.001776129,0.006293384,0.001037262,0.002348639,0.003387237,0.002589869,0.06311445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001469337,"about_ca_system_score_gemma":0.004219499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01568761,"about_ca_topic_score_gemma":0.02949706,"domain_scores_codex":[0.9942681,0.001961876,0.0008661476,0.0011323,0.001350107,0.0004213933],"domain_scores_gemma":[0.9588643,0.0149739,0.002892457,0.01566852,0.006608129,0.0009926173],"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":[0.0001348734,0.00003022156,0.002902726,0.0005596268,0.0000601254,0.00002260083,0.00002708904,0.0003350332,0.00005761045,0.001270095,0.9895201,0.005079879],"study_design_scores_gemma":[0.001125907,0.00006054016,0.01207744,0.0007779833,0.0001811485,0.0002244717,0.000228898,0.002438497,0.0008648869,0.0182557,0.9636815,0.00008304315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008382071,0.0003162645,0.0009686679,0.001079908,0.0002233795,0.00007504724,0.9940932,0.000930284,0.001474979],"genre_scores_gemma":[0.00763041,0.0002021654,0.003649231,0.0007577779,0.0001366654,0.0005747551,0.9834169,0.0004100165,0.003222056],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9955723,"threshold_uncertainty_score":0.2784625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08861274987281159,"score_gpt":0.3265770592684142,"score_spread":0.2379643093956026,"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."}}