{"id":"W4250472967","doi":"10.1145/506486.506523","title":"False prophets","year":2002,"lang":"en","type":"article","venue":"CHI '02 extended abstracts on Human factors in computer systems - CHI '02","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Multimedia; Human–computer interaction; Interface (matter); Focus (optics); Video game design; Isolation (microbiology); Space (punctuation); Game design; Natural (archaeology); Video game; Recreation; Internet privacy","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":[0.00286477,0.0008426732,0.0005064548,0.001495438,0.008249515,0.005523204,0.00115269,0.003424176,0.03370122],"category_scores_gemma":[0.009677064,0.0004280236,0.0004936292,0.001058683,0.01959377,0.005661049,0.004129637,0.007268718,0.01034254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002758058,"about_ca_system_score_gemma":0.001280194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003572382,"about_ca_topic_score_gemma":0.006695559,"domain_scores_codex":[0.9970863,0.001214846,0.00008273264,0.0004588355,0.0007744101,0.0003828146],"domain_scores_gemma":[0.9974963,0.001064661,0.0002024494,0.0004944577,0.0005144426,0.0002276588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005680991,0.00001197785,0.0003040252,0.00007335865,0.000009892751,0.0003599133,0.01073511,0.00009298127,0.0001775221,0.874286,0.09642881,0.01746356],"study_design_scores_gemma":[0.000009088101,0.00001646019,0.0001724103,0.0001418603,0.000006383518,0.0004636422,0.002922866,0.000177103,0.0002101711,0.07349562,0.922371,0.00001345347],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00856409,0.005750814,0.01127578,0.05352065,0.01212057,0.00006318432,0.000239759,0.0002856771,0.9081795],"genre_scores_gemma":[0.3181953,0.004474679,0.006097188,0.02863932,0.003924845,0.00013957,0.0002425422,0.000501184,0.6377854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03370122,"threshold_uncertainty_score":0.1127418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06286186435292403,"score_gpt":0.2933320748572713,"score_spread":0.2304702105043472,"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."}}