{"id":"W4234396608","doi":"10.1145/2544174.2500615","title":"Experience report","year":2013,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Modular design; Computer science; Embedded system; Open source; Instrumentation (computer programming); Software engineering; Code (set theory); Source code; Gambit; Operating system; Programming language; Software; Simulation; Set (abstract data type)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002045993,0.0001376085,0.000175325,0.00008238167,0.0001137386,0.0004432428,0.001506755,0.00005791706,0.0002705244],"category_scores_gemma":[0.0005490345,0.0001227809,0.00005144368,0.0002541332,0.00004676359,0.001967374,0.000438268,0.0001026217,0.001982309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002365668,"about_ca_system_score_gemma":0.00004225382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006891986,"about_ca_topic_score_gemma":0.00004604238,"domain_scores_codex":[0.9985481,0.00006768187,0.000302084,0.0004601111,0.0003426354,0.0002794027],"domain_scores_gemma":[0.9976745,0.0004602758,0.0001991369,0.001387116,0.0001495651,0.0001294401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001182054,0.0004170033,0.1431033,0.0001201946,0.0001482516,0.001604778,0.02271868,0.00003000875,0.02469072,0.004990499,0.05154301,0.7506217],"study_design_scores_gemma":[0.002413334,0.0006285468,0.45679,0.0004653666,0.00005565058,0.00553944,0.005475638,0.03370091,0.07037655,0.01877225,0.4013732,0.004409084],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9197105,0.0001097113,0.05704438,0.002992662,0.001445359,0.0004575281,0.000002348519,0.0006284951,0.01760905],"genre_scores_gemma":[0.9900568,0.000001641527,0.008201923,0.0004535319,0.0001234841,0.0001004993,0.000003426468,0.000008024711,0.001050652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7462126,"threshold_uncertainty_score":0.9987947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03905577636607352,"score_gpt":0.2778498679371863,"score_spread":0.2387940915711128,"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."}}