{"id":"W6891349522","doi":"10.3886/e193231v1","title":"ECIN Replication Package for \"Race and the Income-Achievement Gap\"","year":2023,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Replication (statistics); Code (set theory); DNA replication; Mutation","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":[0.0007260043,0.0002997848,0.0003858339,0.0000697188,0.0001130216,0.0001351554,0.001011512,0.0002341261,0.000008152288],"category_scores_gemma":[0.0004849462,0.000215325,0.00005784322,0.0002054669,0.0001030624,0.0001055053,0.0004582118,0.0003784124,0.0001173435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005688376,"about_ca_system_score_gemma":0.000008717991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002224248,"about_ca_topic_score_gemma":0.0000990475,"domain_scores_codex":[0.9983951,0.00002376239,0.0003560708,0.0006455922,0.0002105783,0.0003689251],"domain_scores_gemma":[0.9965944,0.0004078609,0.0001110471,0.00277892,0.00002849006,0.00007930344],"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":[0.00003412203,0.000008798213,0.00000242657,0.0002558097,0.00007348024,0.000001797734,0.000009341309,0.00000297816,0.002188613,0.00006118363,0.9966994,0.000662071],"study_design_scores_gemma":[0.00060677,0.00002554253,0.00004553709,0.00008145675,0.00011803,0.000005431411,0.00001225412,0.0009830875,0.002591194,0.0002829015,0.9949481,0.0002996371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003030929,0.0006371376,0.00007170425,0.0009133296,0.0002106239,0.0007436936,0.9941769,0.0002033473,0.00001239263],"genre_scores_gemma":[0.0003339445,0.004833043,0.0002293196,0.0001853738,0.0003585893,0.0001091653,0.9937163,0.00005990162,0.000174371],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004195905,"threshold_uncertainty_score":0.8780701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02983224369717874,"score_gpt":0.2714681645677918,"score_spread":0.241635920870613,"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."}}