{"id":"W4253563575","doi":"10.5121/csit.2011.1300","title":"Computer Science Conference Proceedings","year":2011,"lang":"en","type":"paratext","venue":"Computer science and information technology","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of South Africa","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001891876,0.001077273,0.0008876946,0.002440968,0.001532769,0.005472982,0.002067667,0.002081208,0.3519897],"category_scores_gemma":[0.005401277,0.0003753237,0.0008622557,0.002381066,0.0005111499,0.003527027,0.002545783,0.002563832,0.2296388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001458573,"about_ca_system_score_gemma":0.002365257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001572279,"about_ca_topic_score_gemma":0.00229674,"domain_scores_codex":[0.9982082,0.0002915221,0.0001345669,0.0003922922,0.0007927952,0.0001807085],"domain_scores_gemma":[0.9966606,0.0003872674,0.0001026894,0.0005394769,0.001851767,0.0004582185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006620394,0.00006425087,0.0003363643,0.0003208769,0.00002641908,0.0001214698,0.00005258031,0.0002785153,0.0008789324,0.01124021,0.7974259,0.1891884],"study_design_scores_gemma":[0.000009566531,0.00001753733,0.0002914196,0.0000847798,0.000009671539,0.0001524862,0.00004798206,0.0003666873,0.0003489792,0.004015835,0.994646,0.00000907042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00460782,0.02754749,0.03678669,0.03489619,0.06144207,0.0006146145,0.008666336,0.006069063,0.8193698],"genre_scores_gemma":[0.0351149,0.02780342,0.02921458,0.0125183,0.01497705,0.0006719167,0.02885227,0.001664783,0.8491828],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3519897,"threshold_uncertainty_score":0.9243081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02201279788335753,"score_gpt":0.2260747516599266,"score_spread":0.2040619537765691,"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."}}