{"id":"W2126252717","doi":"10.1145/2531602.2531701","title":"GEMS","year":2014,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Storytelling; Narrative; Computer science; Reflection (computer programming); Interactive storytelling; Space (punctuation); World Wide Web; Human–computer interaction; Digital storytelling; Multimedia","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001062948,0.00003489718,0.00003550297,0.00007374356,0.00003903774,0.00003240905,0.0003492304,0.00002921774,0.00006581795],"category_scores_gemma":[0.00003114604,0.00002914889,0.00001020609,0.0001595689,0.00001997906,0.0002563895,0.00008832224,0.00007266326,0.0008293264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001248068,"about_ca_system_score_gemma":0.000003767841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004784116,"about_ca_topic_score_gemma":0.000003249236,"domain_scores_codex":[0.999667,0.00001251315,0.00006144615,0.000120508,0.00005409692,0.00008437219],"domain_scores_gemma":[0.9996265,0.00002167758,0.00002259082,0.0002699959,0.00005124984,0.000007973323],"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":[1.612807e-7,0.000005793388,0.00010772,3.493591e-7,0.000001517111,3.495446e-7,0.00002675275,8.377358e-7,0.002705466,0.9660927,0.00389074,0.02716759],"study_design_scores_gemma":[0.0003240713,0.0002079846,0.007899974,0.000007757189,0.000001434489,0.00005280862,0.00002516279,0.12553,0.1730663,0.2261713,0.4664193,0.0002939285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01568623,8.647385e-7,0.8237541,0.001606214,0.0003004475,0.00001908074,1.378879e-8,0.0003304494,0.1583025],"genre_scores_gemma":[0.95783,1.318839e-7,0.03846741,0.001083955,0.00003195499,0.000003385923,1.672333e-7,0.000001731195,0.002581326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9421437,"threshold_uncertainty_score":0.9999486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008031673893135423,"score_gpt":0.2330533321093508,"score_spread":0.2250216582162154,"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."}}