{"id":"W2923796912","doi":"10.3233/icg-190094","title":"Hex 2018: MoHex3HNN over DeepEzo","year":2019,"lang":"en","type":"article","venue":"ICGA Journal","topic":"Topic Modeling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003312282,0.001057593,0.0011996,0.0008954193,0.001372456,0.004118581,0.001230173,0.001132223,0.217347],"category_scores_gemma":[0.006389795,0.0003817369,0.000596896,0.000914625,0.00063715,0.00315871,0.004349519,0.00170074,0.09746788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001665704,"about_ca_system_score_gemma":0.003120729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0091696,"about_ca_topic_score_gemma":0.0125457,"domain_scores_codex":[0.9987856,0.0002639182,0.0000523564,0.0003432748,0.0003714199,0.0001835602],"domain_scores_gemma":[0.9976363,0.0004279676,0.00007459283,0.0005837611,0.0005904748,0.0006868738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005507941,0.00006793811,0.0003932367,0.0002190463,0.00003432734,0.00009730786,0.0001313917,0.003068537,0.00191238,0.03187056,0.7436779,0.2179765],"study_design_scores_gemma":[0.0001522395,0.00005882098,0.000514483,0.0001602805,0.00001733172,0.00009265575,0.0001034492,0.02158791,0.002047838,0.05100957,0.9242234,0.00003206207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0230983,0.015574,0.2945148,0.07682637,0.07251542,0.0006092611,0.06465493,0.0804273,0.3717795],"genre_scores_gemma":[0.1145284,0.005128214,0.09943029,0.00462198,0.006852136,0.0003306872,0.06604626,0.02260692,0.6804551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.217347,"threshold_uncertainty_score":0.7270983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01455262200946423,"score_gpt":0.2387238848246522,"score_spread":0.224171262815188,"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."}}