{"id":"W1596047338","doi":"10.22230/cjc.2004v29n3a1495","title":"User Error: Resisting Computer Culture","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Digital Games and Media","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003976084,0.00003621283,0.00007106916,0.00006563478,0.0002132321,0.0001145088,0.0004010527,0.00004585449,0.00002752156],"category_scores_gemma":[0.0001612692,0.00003360492,0.00004445939,0.0001198187,0.0001444374,0.0002784695,0.000009106126,0.0001489528,0.00001117306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002231401,"about_ca_system_score_gemma":0.001183631,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.00693693,"about_ca_topic_score_gemma":0.2587012,"domain_scores_codex":[0.9994933,0.00006652204,0.0001539514,0.00003083198,0.0001191249,0.0001362845],"domain_scores_gemma":[0.999141,0.00002810277,0.0001333056,0.0001489751,0.0002083538,0.0003402876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001447055,0.00005869223,0.00854089,0.00001265452,0.0000727236,0.00006725356,0.1820288,0.00140827,0.00005541158,0.3606239,0.04712733,0.3999897],"study_design_scores_gemma":[0.0001431831,0.00002184488,0.003415937,0.00009342965,0.000006070422,0.000007109471,0.002209335,0.000001825306,0.00000639042,0.002258923,0.9917907,0.00004524893],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1360679,0.005321555,0.002143746,0.03829693,0.001118356,0.0002203133,0.00001109239,0.00002718335,0.816793],"genre_scores_gemma":[0.9900272,0.000134956,0.006568491,0.0004701158,0.0002119097,3.946053e-7,0.0000033136,0.000004523472,0.002579119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9446633,"threshold_uncertainty_score":0.999676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02948024705134217,"score_gpt":0.2933934950425097,"score_spread":0.2639132479911676,"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."}}