{"id":"W10493287","doi":"10.1016/s0749-3797(99)00021-5","title":"MATRIX KAPPA: A PROPOSAL FOR A CARD SORT STATISTIC FOR IS SURVEY INSTRUMENT DEVELOPMENT","year":2010,"lang":"en","type":"article","venue":"International Conference on Information Systems","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"sort; Card sorting; Kappa; Computer science; Cohen's kappa; Mathematics; Information retrieval; Machine learning; Engineering","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2864386,0.002170496,0.003947084,0.01619271,0.006066903,0.007215066,0.00665714,0.003149434,0.01597838],"category_scores_gemma":[0.5724307,0.00198287,0.005216237,0.01655732,0.007699595,0.009471235,0.008100356,0.005199826,0.004309779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004571364,"about_ca_system_score_gemma":0.01170957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005701478,"about_ca_topic_score_gemma":0.006040464,"domain_scores_codex":[0.5823139,0.3229999,0.03215779,0.01214009,0.04769997,0.002688357],"domain_scores_gemma":[0.4075055,0.4330663,0.01796417,0.04008476,0.09901506,0.002364168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001172937,0.0004414105,0.04558137,0.00372097,0.002325817,0.0001566236,0.008133573,0.006478119,0.001672092,0.2553511,0.08644435,0.5885217],"study_design_scores_gemma":[0.001213833,0.0031146,0.05198577,0.004131896,0.001293888,0.0007861481,0.01179594,0.1406979,0.006055253,0.5429914,0.2346362,0.001297208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00690801,0.0002885065,0.9732683,0.002043705,0.001249878,0.004310504,0.001450418,0.001691189,0.008789496],"genre_scores_gemma":[0.04088173,0.0001592037,0.9458972,0.0003869322,0.0002726789,0.01032624,0.0005225902,0.0005028952,0.001050435],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2864386,"threshold_uncertainty_score":0.8799482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1720505722041145,"score_gpt":0.4203387625942291,"score_spread":0.2482881903901146,"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."}}