{"id":"W2773638743","doi":"10.1145/3134737","title":"Social CheatSheet","year":2017,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Waterloo; Simon Fraser University","funders":"","keywords":"Computer science; World Wide Web; Software deployment; Formative assessment; Task (project management); Filter (signal processing); Feature (linguistics); Overlay; Multimedia; Human–computer interaction; Information retrieval; Software engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.000300297,0.0001556312,0.000205712,0.00009488082,0.0008493627,0.0007482989,0.005360949,0.00007682869,0.000005692061],"category_scores_gemma":[0.00006705767,0.0001128615,0.0001708109,0.00006089865,0.00005455611,0.001243885,0.00204004,0.0002428772,0.00001194834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007148088,"about_ca_system_score_gemma":0.000007852288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006206887,"about_ca_topic_score_gemma":0.000002324158,"domain_scores_codex":[0.998909,0.000009734859,0.0002873166,0.0003361277,0.0002758903,0.000181956],"domain_scores_gemma":[0.9981861,0.00002586573,0.0006587405,0.0009127108,0.000185953,0.0000306249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004356651,0.0004539904,0.006712058,0.0002261974,0.0001680099,0.000001880136,0.004891043,0.000002400457,0.03720619,0.4114595,0.3465713,0.1922639],"study_design_scores_gemma":[0.00146304,0.001023112,0.1684464,0.001090495,0.00004393941,0.0001216181,0.0001424331,0.01059509,0.5433428,0.2093222,0.06331203,0.001096927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8689978,0.00001121273,0.01242675,0.02966792,0.005047657,0.0008286865,0.000002071272,0.0006925697,0.08232532],"genre_scores_gemma":[0.9910058,0.000001506578,0.007807869,0.0002415074,0.0006233565,0.00002126024,2.503396e-7,0.000011423,0.0002870009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5061365,"threshold_uncertainty_score":0.9962067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1058863966839991,"score_gpt":0.3752810633684598,"score_spread":0.2693946666844608,"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."}}