{"id":"W4285665494","doi":"10.5121/csit.2020.1009","title":"Computer Science &amp; Information Technology","year":2020,"lang":"en","type":"paratext","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; European Commission; Middle Tennessee State University","keywords":"Computer science; Data 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":[0.001259383,0.0009001078,0.0006942999,0.001972169,0.0008865568,0.005251037,0.0008688697,0.001743244,0.1221149],"category_scores_gemma":[0.004368117,0.0003562631,0.0002560313,0.00364395,0.001200573,0.003626003,0.002238943,0.002577252,0.09755633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001685085,"about_ca_system_score_gemma":0.001926838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002084111,"about_ca_topic_score_gemma":0.001626441,"domain_scores_codex":[0.9982547,0.0002664338,0.0000930724,0.0004019614,0.000868683,0.0001150662],"domain_scores_gemma":[0.9976799,0.0005879943,0.00009758956,0.0004315963,0.0009462996,0.0002565634],"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":[0.0000441704,0.00004089133,0.0003649202,0.0002862863,0.00001269381,0.0000786597,0.00007295537,0.0005888582,0.001870368,0.06560254,0.4486187,0.4824191],"study_design_scores_gemma":[0.000004281137,0.00002116732,0.0002744779,0.00009466452,0.000005123615,0.00007740469,0.00002780927,0.001490345,0.0006917587,0.01663653,0.9806676,0.000008792636],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002366639,0.0210299,0.05647386,0.01689334,0.007988704,0.0002357038,0.002104701,0.002806382,0.8901008],"genre_scores_gemma":[0.03918959,0.02166038,0.03137603,0.002841131,0.002764958,0.0002551257,0.003215402,0.0006396622,0.8980577],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.877885,"threshold_uncertainty_score":0.4085152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05187886792408311,"score_gpt":0.2857026726871645,"score_spread":0.2338238047630814,"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."}}