{"id":"W4247174712","doi":"10.1111/j.1751-5823.2011.00145.x","title":"Discussions","year":2011,"lang":"en","type":"article","venue":"International Statistical Review","topic":"Survey Sampling and Estimation Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Office of Naval Research; National Institutes of Health; National Science Foundation","keywords":"Chatterjee; Statistics; Chen; Library science; Mathematics; Biostatistics; Computer science; Artificial intelligence; Medicine","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":["insufficient_payload"],"category_scores_codex":[0.01490667,0.0009652679,0.001375772,0.005235709,0.005911467,0.01103269,0.002759833,0.00802042,0.4355052],"category_scores_gemma":[0.1231861,0.000518408,0.001176176,0.002073003,0.002007364,0.004744114,0.005027813,0.007945888,0.2471522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003657673,"about_ca_system_score_gemma":0.01072296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002222318,"about_ca_topic_score_gemma":0.003545125,"domain_scores_codex":[0.9783306,0.004603063,0.0010819,0.001827328,0.01197605,0.002181059],"domain_scores_gemma":[0.8783582,0.01341205,0.00288577,0.007490863,0.08803695,0.009816105],"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":[0.00003232688,0.00002296963,0.0001631145,0.0001396848,0.000006508235,0.00008665969,0.0002262134,0.00002208578,0.0003082093,0.005281398,0.9691951,0.02451575],"study_design_scores_gemma":[0.00001137175,0.00001017559,0.0003229841,0.0001350457,0.000005765798,0.0000412327,0.0003920673,0.00006494577,0.0002074747,0.002851147,0.9959468,0.00001106163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003965915,0.003494446,0.006696364,0.2516333,0.204882,0.002118188,0.003784209,0.002081144,0.5213444],"genre_scores_gemma":[0.01097251,0.001268861,0.002513675,0.02480577,0.02814288,0.000878259,0.001588872,0.0009390041,0.9288902],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5644948,"threshold_uncertainty_score":0.8051833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3718555748160113,"score_gpt":0.4727230996262103,"score_spread":0.1008675248101989,"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."}}