{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.008287926,0.00049353,0.0005040327,0.0004979281,0.0003606211,0.01598283,0.03803336,0.0002295088,0.00001749703],"category_scores_gemma":[0.01160214,0.0004856053,0.00003859191,0.0007170896,0.0001438364,0.05376243,0.07732122,0.001082226,0.0003973511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005900895,"about_ca_system_score_gemma":0.0002020884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003506959,"about_ca_topic_score_gemma":0.001028886,"domain_scores_codex":[0.9934074,0.0001831111,0.000673258,0.003827181,0.001054084,0.0008550274],"domain_scores_gemma":[0.976401,0.002619009,0.0005313226,0.02009737,0.00009930728,0.0002519909],"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":[0.000006273487,0.00002806895,0.000007046166,0.001475025,0.0001499352,0.0000802913,0.000009083923,7.077443e-7,0.00001091288,0.000998044,0.9921375,0.005097115],"study_design_scores_gemma":[0.0002148061,0.00003846321,0.000009334881,0.0005269655,0.0001945547,0.00003072176,0.0000185568,0.0199718,0.000004248091,0.0002388231,0.9782447,0.0005070713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000005420558,0.003096358,0.0238338,0.003824999,0.0009366577,0.0007887251,0.967234,0.0002142476,0.0000657833],"genre_scores_gemma":[0.00000231623,0.01038878,0.03304409,0.0006876045,0.000793132,0.00004301135,0.9546157,0.00004687435,0.0003784692],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03928786,"threshold_uncertainty_score":0.9997596,"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."}}