{"id":"W1996204262","doi":"10.1145/2628363.2628380","title":"ProactiveTasks","year":2014,"lang":"en","type":"article","venue":"","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; Human–computer interaction; Variety (cybernetics); Focus (optics); Mobile device; Set (abstract data type); Context (archaeology); Multimedia; Mobile computing; Lock (firearm); Mobile interaction; World Wide Web; Artificial intelligence; Engineering; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.005864562,0.001039368,0.0006065813,0.002496823,0.001022709,0.003959298,0.001974063,0.00108293,0.03129864],"category_scores_gemma":[0.03472635,0.0006947936,0.001245604,0.001361236,0.0005224917,0.005202461,0.004180058,0.001177516,0.01549431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007026443,"about_ca_system_score_gemma":0.001898162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007077745,"about_ca_topic_score_gemma":0.001686873,"domain_scores_codex":[0.99497,0.001963372,0.0006041682,0.0007448384,0.001384344,0.0003333318],"domain_scores_gemma":[0.9668608,0.01745222,0.002831019,0.006183489,0.004177143,0.002495386],"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":[0.001688198,0.0005451413,0.01176227,0.004677318,0.0001863889,0.0006527849,0.01575212,0.0007577855,0.02377448,0.02139063,0.1993705,0.7194423],"study_design_scores_gemma":[0.0001639138,0.0006743386,0.007014313,0.0004918688,0.0001327541,0.0006764455,0.002005422,0.002097573,0.007207142,0.008765115,0.9706316,0.0001394578],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1775834,0.00690843,0.377585,0.006955991,0.002539222,0.006013002,0.01528113,0.1162518,0.290882],"genre_scores_gemma":[0.4474159,0.003430717,0.3353363,0.003189342,0.001170524,0.006052875,0.015458,0.01324378,0.1747025],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03129864,"threshold_uncertainty_score":0.1047044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4263947259710769,"score_gpt":0.4778044123803234,"score_spread":0.05140968640924654,"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."}}