{"id":"W1881569770","doi":"10.1002/9781118445112.stat05243","title":"Kappa and Its Dependence on Marginal Rates","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Reliability and Agreement in Measurement","field":"Decision Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Kappa; Cohen's kappa; Statistic; Statistics; Measure (data warehouse); Mathematics; Econometrics; Computer science; Data mining; Geometry","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":[],"consensus_categories":[],"category_scores_codex":[0.1601893,0.001007573,0.002702901,0.00845749,0.001954245,0.007363737,0.003909732,0.002115751,0.01057079],"category_scores_gemma":[0.6394528,0.001206575,0.002389144,0.00886359,0.01226823,0.009608658,0.006138598,0.004925571,0.002173976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003561123,"about_ca_system_score_gemma":0.002631947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004621143,"about_ca_topic_score_gemma":0.002457384,"domain_scores_codex":[0.7691673,0.1565474,0.01108234,0.02276102,0.03820197,0.002239952],"domain_scores_gemma":[0.1893239,0.7242617,0.01835148,0.04143479,0.02499456,0.001633632],"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":[0.0006901461,0.00005702805,0.04519963,0.001434777,0.001233696,0.0002358073,0.004892434,0.01924479,0.0004585148,0.7124016,0.01416348,0.199988],"study_design_scores_gemma":[0.00004009366,0.0001255308,0.02119608,0.0008841442,0.0002346579,0.0007133152,0.0006174185,0.04747188,0.000856935,0.9131123,0.01452671,0.0002210561],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0618249,0.0121809,0.8756861,0.005682828,0.001272893,0.0003757516,0.001530617,0.0009223705,0.04052377],"genre_scores_gemma":[0.8261549,0.003751827,0.1596333,0.001092542,0.001279769,0.0008441337,0.0008242474,0.000741116,0.005678189],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1601893,"threshold_uncertainty_score":0.8471722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1823082849611272,"score_gpt":0.4110886459547939,"score_spread":0.2287803609936667,"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."}}