{"id":"W2949483509","doi":"10.1145/3300961","title":"SMAC","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Rheumatology Association; University of Toronto","funders":"","keywords":"Proxemics; Human–computer interaction; Workflow; Desk; Computer science; Work (physics); Gaze; Engineering; Artificial intelligence","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":[0.001775169,0.00120205,0.0007292284,0.00253366,0.001881062,0.004363507,0.002696464,0.002076938,0.3813021],"category_scores_gemma":[0.008490472,0.0005107353,0.0008900788,0.002214898,0.0006839829,0.004521591,0.004660137,0.001656553,0.3064349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215812,"about_ca_system_score_gemma":0.002424705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005381369,"about_ca_topic_score_gemma":0.006065419,"domain_scores_codex":[0.9980183,0.0002950832,0.0001340285,0.0003633533,0.0009320467,0.0002572113],"domain_scores_gemma":[0.9958392,0.0005420413,0.0001525922,0.001189596,0.001822706,0.0004538229],"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":[0.0004570986,0.0001256668,0.001207957,0.0004427471,0.00002604637,0.0002453758,0.0003474095,0.0006990875,0.003642661,0.0260509,0.7343135,0.2324416],"study_design_scores_gemma":[0.00003103178,0.00004832015,0.0008112363,0.00009508765,0.00001151054,0.0001903503,0.0001008657,0.001661642,0.0013283,0.00383626,0.9918607,0.00002471028],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008069409,0.001292471,0.082764,0.003367708,0.003054291,0.001020722,0.03222825,0.07341191,0.7947913],"genre_scores_gemma":[0.08548642,0.001883032,0.07926457,0.003949695,0.001081545,0.001743337,0.09971596,0.01656932,0.7103061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3813021,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3097970958595432,"score_gpt":0.4576377586033961,"score_spread":0.1478406627438529,"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."}}