{"id":"W3011888447","doi":"10.1145/3343413.3377986","title":"Spectator","year":2020,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cisco Systems (Canada)","funders":"","keywords":"Computer science; Context (archaeology); Task (project management); World Wide Web; Sample (material); Information retrieval; Human–computer interaction; Bundle","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":[0.003748069,0.001624047,0.001423222,0.002013323,0.001178198,0.0042662,0.002772683,0.001754525,0.1300578],"category_scores_gemma":[0.01323277,0.001069522,0.001414436,0.001313183,0.00106081,0.006707878,0.007484455,0.002111096,0.07640873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034233,"about_ca_system_score_gemma":0.00146879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003550491,"about_ca_topic_score_gemma":0.007791533,"domain_scores_codex":[0.9980677,0.0004396173,0.0001169666,0.0006949339,0.0004891786,0.0001917638],"domain_scores_gemma":[0.9911992,0.002119791,0.0002714802,0.003170004,0.002279247,0.0009603188],"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":[0.001631046,0.0002021176,0.006476989,0.0007880225,0.0001418286,0.0006826638,0.004068034,0.001127782,0.02116037,0.02622001,0.5885983,0.3489029],"study_design_scores_gemma":[0.0001899124,0.0002271753,0.002669795,0.0001919266,0.00007045433,0.0008881147,0.0008526823,0.01758907,0.01787063,0.0108106,0.9484927,0.0001470122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01867598,0.001013734,0.5255692,0.003338049,0.001436223,0.001034281,0.01168845,0.3084602,0.1287839],"genre_scores_gemma":[0.136624,0.0009626943,0.4173475,0.003247992,0.0006680361,0.001045977,0.0323147,0.1012793,0.3065098],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1300578,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02265543935394646,"score_gpt":0.206615565636449,"score_spread":0.1839601262825026,"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."}}