{"id":"W7117878782","doi":"10.17605/osf.io/d2t7e","title":"Quantile Elicitation Formats Comparison Study","year":2025,"lang":"","type":"other","venue":"Open Science Framework","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Quantile; Expert elicitation; Preference elicitation; Term (time); Set (abstract data type)","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02511349,0.0007419487,0.0006761969,0.001664061,0.0006763152,0.002566969,0.001295859,0.001588307,0.02313571],"category_scores_gemma":[0.2001288,0.0003030511,0.0007239056,0.001459862,0.0006349213,0.003699849,0.002345913,0.00193812,0.003518764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011038,"about_ca_system_score_gemma":0.0009781125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008379702,"about_ca_topic_score_gemma":0.0004976293,"domain_scores_codex":[0.964536,0.02538526,0.003434927,0.001306736,0.004595508,0.0007416268],"domain_scores_gemma":[0.6357969,0.3227056,0.0089177,0.01220874,0.01921847,0.001152543],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.06331469,0.02877672,0.09703939,0.008303315,0.000989121,0.001202954,0.02157755,0.03043723,0.07220568,0.03836742,0.01326619,0.6245196],"study_design_scores_gemma":[0.01441069,0.06777085,0.344997,0.003124257,0.003214943,0.003529256,0.03650736,0.1484835,0.1950708,0.06141528,0.1198445,0.001631588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8879442,0.0009101699,0.06566111,0.0009790779,0.0003003514,0.004763758,0.003618447,0.0004571784,0.03536568],"genre_scores_gemma":[0.9529282,0.0005416522,0.03577741,0.0006814027,0.0001662112,0.004136083,0.002183642,0.0001311211,0.003454247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9748865,"threshold_uncertainty_score":0.1328144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0597436154445862,"score_gpt":0.4429904581065364,"score_spread":0.3832468426619502,"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."}}