{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003930218,0.003039245,0.001937139,0.005867574,0.001924015,0.004239791,0.0068633,0.003097551,0.2395426],"category_scores_gemma":[0.02259055,0.001177205,0.002290339,0.00670783,0.001337383,0.002017467,0.004294771,0.003498446,0.3057599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001774482,"about_ca_system_score_gemma":0.004665105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01405854,"about_ca_topic_score_gemma":0.03301337,"domain_scores_codex":[0.9976898,0.0004788691,0.0002544235,0.000636667,0.0005304466,0.00040977],"domain_scores_gemma":[0.9918944,0.001917767,0.0005781004,0.003225716,0.001453897,0.0009300241],"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":[0.00002940214,0.00001361118,0.0002345569,0.0002200986,0.00001611791,0.000007666446,0.00001778659,0.00008961806,0.00004159047,0.0004233153,0.9979417,0.0009645216],"study_design_scores_gemma":[0.0004057208,0.00001878938,0.001534289,0.0002432145,0.00004194631,0.00004577895,0.00008553311,0.0004931151,0.000538389,0.003720885,0.9928321,0.00004036728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009246113,0.00004093159,0.000208839,0.0001232262,0.00004881401,0.00002786276,0.9971801,0.001320919,0.0009568824],"genre_scores_gemma":[0.0005200343,0.00004156277,0.001060605,0.0001085517,0.0000231745,0.0002328657,0.9958608,0.0007899934,0.001362451],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7604574,"threshold_uncertainty_score":0.8013498,"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."}}