{"id":"W2115759545","doi":"10.2214/ajr.180.4.1800917","title":"Introduction to Probability Theory and Sampling Distributions","year":2003,"lang":"en","type":"article","venue":"American Journal of Roentgenology","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal General Hospital","funders":"","keywords":"Medicine; Sampling (signal processing); Statistics","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":[0.00113912,0.00007382515,0.0002792395,0.00005603706,0.00006023036,0.000006042346,0.0000578787,0.00001820219,0.00004220784],"category_scores_gemma":[0.006908191,0.00005902367,0.00003587806,0.0001295167,0.0002358876,0.00004328078,0.0000185712,0.0001522154,0.000001263882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005072141,"about_ca_system_score_gemma":0.00003142339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001081919,"about_ca_topic_score_gemma":0.000001455748,"domain_scores_codex":[0.998823,0.0004872922,0.0003137117,0.0001283082,0.00007401055,0.0001736942],"domain_scores_gemma":[0.9985434,0.0008251606,0.0002275561,0.0001305273,0.0001526352,0.0001207149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000975664,0.00006352151,0.0001403626,0.000007015816,0.00003275869,0.000002556354,0.000187153,0.00005755702,0.001229122,0.933341,0.0001376214,0.06470376],"study_design_scores_gemma":[0.0001279679,0.0006491942,0.0002912286,0.000005669175,0.00004024438,0.0002501362,0.0004072176,0.000003386752,0.0004676142,0.9917357,0.005961359,0.00006029236],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2298043,0.00003847221,0.7687702,0.001161314,0.0001080298,0.00006185957,0.000006178552,0.000005576891,0.00004410747],"genre_scores_gemma":[0.3204058,0.00001704716,0.6793984,0.00006379256,0.00008850593,0.000002478924,2.683525e-7,0.00000600363,0.00001770429],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09060148,"threshold_uncertainty_score":0.8270249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06402577841020245,"score_gpt":0.4021659234838263,"score_spread":0.3381401450736239,"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."}}