{"id":"W2055456522","doi":"10.1145/2516955.2516957","title":"Advancing theory through the conceptualization and development of causal attributions for computer performance histories","year":2013,"lang":"en","type":"article","venue":"ACM SIGMIS Database the DATABASE for Advances in Information Systems","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Simon Fraser University; University of Lethbridge","funders":"","keywords":"Conceptualization; Attribution; Psychology; Attribution bias; Social psychology; Field (mathematics); Knowledge management; Cognitive psychology; Computer science; Artificial intelligence","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":[0.04843622,0.001242211,0.001106089,0.0106411,0.003093192,0.008700031,0.003701547,0.003013696,0.004569971],"category_scores_gemma":[0.1362236,0.0009911181,0.00187265,0.008091257,0.02807887,0.02251974,0.005451099,0.005797242,0.0005051276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006796228,"about_ca_system_score_gemma":0.006096715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005430548,"about_ca_topic_score_gemma":0.003231695,"domain_scores_codex":[0.9717966,0.01873497,0.001712662,0.002910399,0.004261679,0.0005836292],"domain_scores_gemma":[0.7479178,0.2080314,0.01438952,0.01645964,0.01156062,0.001641139],"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":[0.0000150335,0.000059032,0.008689208,0.0003070118,0.00005924355,0.00006283516,0.006799831,0.002767488,0.00009538296,0.9468972,0.0007954411,0.0334522],"study_design_scores_gemma":[0.00001662151,0.00003674821,0.005178806,0.0004207038,0.00004246276,0.00009548802,0.00253552,0.009842344,0.000196399,0.9726918,0.008881079,0.000062026],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03771763,0.005195962,0.9012454,0.01955689,0.0005298762,0.000503008,0.0003814,0.0002253099,0.03464456],"genre_scores_gemma":[0.7512192,0.004599592,0.2389462,0.00164977,0.0004910326,0.00103505,0.0003591927,0.00009088139,0.001609197],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04843622,"threshold_uncertainty_score":0.2561583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07494674424943341,"score_gpt":0.35794693144801,"score_spread":0.2830001871985766,"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."}}