{"id":"W4233521617","doi":"10.1111/j.1541-0420.2008.01004_2.x","title":"Discussions","year":2008,"lang":"en","type":"article","venue":"Biometrics","topic":"Reliability and Agreement in Measurement","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Biostatistics; Epidemiology; Library science; Public health; Citation; Medicine; Gerontology; Sociology; Computer science; Pathology","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":[],"category_scores_codex":[0.002472026,0.00007420356,0.0001346257,0.00109162,0.0002710066,0.00006395092,0.000600274,0.00004673368,0.0008673998],"category_scores_gemma":[0.007998812,0.00004045896,0.0001041372,0.008111205,0.0001088025,0.0001360391,0.0001133134,0.00006788965,0.001930856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003819802,"about_ca_system_score_gemma":0.00003480559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008739492,"about_ca_topic_score_gemma":0.000001449209,"domain_scores_codex":[0.996762,0.00009652505,0.0003958584,0.0002914337,0.002269918,0.0001843146],"domain_scores_gemma":[0.9983129,0.0006710833,0.00009032523,0.0005622668,0.0002366587,0.0001267812],"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":[0.00001483251,0.0006293344,0.3234433,0.00000397742,0.00001713007,0.00003221468,0.0005076907,0.00005109456,0.003528325,0.003192392,0.4367636,0.2318161],"study_design_scores_gemma":[0.0001987729,0.00007419814,0.3057711,0.000003071902,0.000003451707,0.00000806462,0.0002024735,0.0001408326,0.0007253501,0.007672002,0.6850672,0.0001335636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9223559,0.0005656756,0.02449479,0.00468814,0.0018048,0.000277784,0.00002213844,0.00009202185,0.04569871],"genre_scores_gemma":[0.9911416,0.00007718634,0.00213057,0.0002048349,0.00007800186,0.000004364239,0.000001264983,0.000003406419,0.006358754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2483036,"threshold_uncertainty_score":0.9988462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5836070243354328,"score_gpt":0.4381198552999291,"score_spread":0.1454871690355036,"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."}}