{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01149598,0.001290017,0.001226856,0.001442521,0.001656433,0.001649983,0.001720583,0.001671603,0.4353136],"category_scores_gemma":[0.05772205,0.001172726,0.0009428423,0.001876799,0.00112282,0.001487563,0.001967382,0.002621774,0.144346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001341955,"about_ca_system_score_gemma":0.004058713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003690137,"about_ca_topic_score_gemma":0.007280563,"domain_scores_codex":[0.9950059,0.002167273,0.0005395455,0.000953634,0.001063425,0.0002702427],"domain_scores_gemma":[0.9340443,0.04103368,0.00205241,0.01244475,0.008296444,0.002128354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00222779,0.0006454216,0.002240433,0.0008565399,0.00005509898,0.00005462647,0.0002872872,0.001103983,0.001467347,0.005341258,0.9541986,0.03152161],"study_design_scores_gemma":[0.00880405,0.0006975009,0.009099851,0.0005177868,0.0001268705,0.0001244899,0.0003891752,0.00394506,0.005283763,0.02952166,0.9412349,0.0002549296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004465339,0.00008623068,0.03070927,0.001851129,0.001043472,0.0140771,0.9080562,0.01841203,0.02129916],"genre_scores_gemma":[0.0317155,0.0002469115,0.1974961,0.004620546,0.0004126163,0.2032356,0.473189,0.01950927,0.0695745],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4353136,"threshold_uncertainty_score":0.8054566,"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."}}