{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.003233259,0.000508681,0.0005977378,0.0003318746,0.0003766819,0.0005419926,0.01259743,0.0004115343,0.0002707275],"category_scores_gemma":[0.002928413,0.0005371612,0.0001770251,0.0007749181,0.0001052123,0.001415647,0.01396733,0.0005202788,0.07444524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002995129,"about_ca_system_score_gemma":0.00035414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001020903,"about_ca_topic_score_gemma":0.0002752596,"domain_scores_codex":[0.9942909,0.0002291616,0.000731774,0.003237388,0.0008519114,0.0006588095],"domain_scores_gemma":[0.9734268,0.0007040405,0.0005145671,0.02485092,0.0002718521,0.0002317899],"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":[0.00001238504,0.00009576394,0.000001962026,0.0002453272,0.00004596584,0.00002636483,0.00001279093,0.00004043287,0.000009408716,0.0001473358,0.992621,0.006741236],"study_design_scores_gemma":[0.0004019384,0.00007751489,0.00004228779,0.00008357559,0.00009319453,0.00001507867,0.00001040375,0.0664512,0.00001719812,0.0009336895,0.9313475,0.0005264265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002557981,0.000001986568,0.1519597,0.00006750453,0.002642235,0.0009131252,0.8438584,0.0005374596,0.00001696111],"genre_scores_gemma":[0.000001421583,0.0002200525,0.03173597,0.0002954855,0.0005914239,0.00006763286,0.9668821,0.00003468258,0.0001712049],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1230237,"threshold_uncertainty_score":0.999708,"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."}}