{"id":"W4398395908","doi":"10.7910/dvn/lwfo6m/bv1a2h","title":"H&G-Rep.csv","year":2011,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Replication (statistics); Cluster analysis; Computer science; Biology; Computational biology; Artificial intelligence; Virology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001324867,0.0002354247,0.0003677742,0.000234539,0.0004843068,0.0001395465,0.00101013,0.0002919213,0.1761845],"category_scores_gemma":[0.0008386307,0.0002318256,0.0002353679,0.0003978109,0.0002934107,0.0002526988,0.000319003,0.0003322653,0.2557944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009321034,"about_ca_system_score_gemma":0.0004105441,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01644079,"about_ca_topic_score_gemma":0.01488679,"domain_scores_codex":[0.9975919,0.0005565257,0.0003215628,0.0004810617,0.000676388,0.0003725966],"domain_scores_gemma":[0.998211,0.0002890385,0.0002497457,0.0008558586,0.0001586345,0.0002356691],"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":[0.00001012514,0.0000638014,0.000008033047,0.00001616211,0.00009597543,0.00002004561,0.0002952528,0.000001651632,4.499981e-7,0.001272968,0.9967485,0.001467017],"study_design_scores_gemma":[0.000102809,0.000006451484,0.000031783,0.00002225752,0.0002117565,0.000001364305,0.0001389559,0.00000198931,4.74332e-7,0.001685992,0.9975101,0.0002861024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000005173691,0.000002548292,0.0005202671,0.00001931362,0.0009710368,0.000146771,0.9898768,0.00006545825,0.008392639],"genre_scores_gemma":[0.00000267695,0.0004238084,0.003628919,0.0003303163,0.0008933845,0.00001362312,0.985975,0.00001177622,0.008720495],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07960995,"threshold_uncertainty_score":0.9901088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08057140338969185,"score_gpt":0.3605888380865823,"score_spread":0.2800174346968904,"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."}}