{"id":"W3216603177","doi":"10.3886/e124501","title":"Data and Code for: An Experiment in Candidate Selection","year":2021,"lang":"en","type":"article","venue":"Socio-Environmental Systems Modeling","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Development Research Centre","funders":"","keywords":"Computer science; Code (set theory); Selection (genetic algorithm); Artificial intelligence; Set (abstract data type); Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0006341373,0.0001001145,0.0001748674,0.00002690295,0.0001172434,0.00004683392,0.00009490964,0.00006568846,0.00001425565],"category_scores_gemma":[0.0001241574,0.0001042857,0.00001452385,0.0000261173,0.00002480681,0.000119804,0.00009234394,0.00007212011,0.000001687694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00018479,"about_ca_system_score_gemma":0.00003503087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005708884,"about_ca_topic_score_gemma":0.00003583202,"domain_scores_codex":[0.9989557,0.00017302,0.0002677065,0.0003255817,0.0001165024,0.0001615069],"domain_scores_gemma":[0.9994102,0.0001915792,0.00006564522,0.0002724205,0.000007009036,0.0000531301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004364657,0.004728893,0.2954078,0.003371474,0.000877302,0.00004443059,0.1152581,0.06835003,0.333278,0.1364659,0.02219374,0.01958797],"study_design_scores_gemma":[0.0007507254,0.00004827293,0.00008242973,0.00006159385,0.00004320489,0.00003092483,0.2106231,0.7692403,0.0003303555,0.01671753,0.001797266,0.0002743057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6490946,0.0006490101,0.3488082,0.00004789002,0.0003203937,0.0002830316,0.0007186974,0.00002691524,0.00005117322],"genre_scores_gemma":[0.9168288,0.000136528,0.08225138,0.00002518097,0.00006596847,0.00007871773,0.0003309532,0.00002206543,0.0002603667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7008902,"threshold_uncertainty_score":0.4252648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3334821451309932,"score_gpt":0.4418480920186208,"score_spread":0.1083659468876276,"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."}}