{"id":"W3009469321","doi":"10.1145/3377325.3377513","title":"NJM-Vis","year":2020,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of the Fraser Valley; University of British Columbia","funders":"","keywords":"Interpretability; Computer science; Artificial intelligence; Joint (building); Interface (matter); Task (project management); Domain (mathematical analysis); Interpretation (philosophy); Thriving; Natural language processing; Machine learning; Engineering; Psychology","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":[0.001655521,0.001362486,0.0008442686,0.001237124,0.0006214613,0.002814676,0.002339879,0.002133196,0.1216814],"category_scores_gemma":[0.008101145,0.0006062392,0.001275468,0.0008441826,0.000462994,0.003615885,0.00281794,0.002372955,0.04840408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009243865,"about_ca_system_score_gemma":0.001108537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004623455,"about_ca_topic_score_gemma":0.01416187,"domain_scores_codex":[0.9992898,0.0001540119,0.00004991416,0.0002370963,0.0002195884,0.00004963429],"domain_scores_gemma":[0.9986607,0.000644487,0.00005846796,0.0003514497,0.0002170924,0.00006772048],"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":[0.001066221,0.000335413,0.002986453,0.001026501,0.0002791927,0.0002747061,0.0004089406,0.01896988,0.005840453,0.05156379,0.5887092,0.3285392],"study_design_scores_gemma":[0.0004517726,0.0001576862,0.002154135,0.0002573257,0.00009945999,0.0003724635,0.0001646977,0.3414164,0.01372786,0.1189901,0.5220746,0.0001335044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.0116704,0.001052872,0.4301443,0.001609227,0.001040277,0.0003479847,0.0566582,0.4173876,0.08008909],"genre_scores_gemma":[0.1271691,0.001096814,0.6142957,0.002134899,0.0003685651,0.001356252,0.09726074,0.07444751,0.08187038],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1216814,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04730662541987404,"score_gpt":0.238312288598656,"score_spread":0.1910056631787819,"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."}}