{"id":"W6947225486","doi":"10.3886/e202681v1","title":"Data and Code for: Revealing Choice Bracketing","year":2024,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"Research Data Management Practices","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Bracketing (phenomenology); Code (set theory); Interdependence; Test (biology); Portfolio; Preference","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":[0.004356347,0.001764693,0.001056239,0.003060418,0.001074356,0.002693844,0.002616819,0.002169361,0.1292775],"category_scores_gemma":[0.02598722,0.000875391,0.00104805,0.005045613,0.0009055173,0.001502491,0.002257571,0.002746844,0.1415312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002240383,"about_ca_system_score_gemma":0.003509979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02007047,"about_ca_topic_score_gemma":0.03711484,"domain_scores_codex":[0.9967548,0.0008332077,0.0005015471,0.0008297315,0.0007482518,0.0003324547],"domain_scores_gemma":[0.9841782,0.006549085,0.001240726,0.004282089,0.002843671,0.0009062394],"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":[0.00006257008,0.00004200128,0.001506114,0.0002235426,0.00001002815,0.00001514003,0.00003964303,0.0002943137,0.00004916909,0.0007862134,0.994115,0.002856147],"study_design_scores_gemma":[0.0004493866,0.00003407821,0.005570831,0.0002840304,0.0000174788,0.00007693123,0.0001955026,0.001177389,0.0004843388,0.00413767,0.9875181,0.0000542202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000254858,0.00002356553,0.0003741623,0.0001506465,0.00002973348,0.00007485398,0.9975408,0.0006799049,0.0008714847],"genre_scores_gemma":[0.001263487,0.00003330089,0.002194441,0.0001397255,0.00001102913,0.0008727581,0.9939983,0.0002671492,0.001219894],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1292775,"threshold_uncertainty_score":0.4324762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2882761123510718,"score_gpt":0.4498042233018121,"score_spread":0.1615281109507403,"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."}}