{"id":"W2317139291","doi":"10.1145/2854946.2854991","title":"TwIST","year":2016,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Exploratory search; Computer science; Search engine; Information retrieval; Mode (computer interface); Simple (philosophy); Visualization; World Wide Web; Search analytics; Human–computer interaction; Web search query; Data mining","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007992637,0.001111085,0.0006492482,0.001768843,0.001193246,0.002713456,0.001373335,0.001103658,0.160527],"category_scores_gemma":[0.00495558,0.0005229994,0.0009247578,0.001521598,0.0005680464,0.004718795,0.004216843,0.0009162945,0.08016827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000649649,"about_ca_system_score_gemma":0.001291991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002029529,"about_ca_topic_score_gemma":0.002937713,"domain_scores_codex":[0.9992093,0.00009793053,0.00006585877,0.000145373,0.0003224247,0.0001590714],"domain_scores_gemma":[0.9986278,0.0003747102,0.00008365055,0.000318608,0.0003678329,0.0002273888],"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":[0.001882691,0.00009900019,0.002913351,0.001342809,0.00004776018,0.0005985892,0.001131235,0.001799916,0.015609,0.05436483,0.505961,0.4142497],"study_design_scores_gemma":[0.0001393967,0.0001446708,0.001260275,0.0001633724,0.00003247362,0.0006388511,0.0003456552,0.006414319,0.006960175,0.01545401,0.9683524,0.00009454387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02566146,0.002780144,0.3040226,0.002530217,0.002419214,0.001259648,0.04438923,0.2466187,0.3703188],"genre_scores_gemma":[0.2211865,0.003516617,0.1971144,0.002146723,0.0008681501,0.002316365,0.07503064,0.03534425,0.4624764],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.839473,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008129289769632,"score_gpt":0.2099512938013173,"score_spread":0.1998700009036209,"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."}}