{"id":"W2764058170","doi":"10.1007/s11042-017-5246-0","title":"CASP: context-aware stress prediction system","year":2017,"lang":"en","type":"article","venue":"Multimedia Tools and Applications","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"CASP; Computer science; Context (archaeology); Stress (linguistics); Protein structure prediction","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":[0.0003960538,0.001811101,0.001540716,0.002592113,0.0004521738,0.0008500921,0.001502165,0.0008853627,0.009394645],"category_scores_gemma":[0.001454795,0.0003981222,0.0005860315,0.001036579,0.0001383473,0.0006977757,0.001116269,0.0007179275,0.00644477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004070705,"about_ca_system_score_gemma":0.0007163272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003949394,"about_ca_topic_score_gemma":0.005947446,"domain_scores_codex":[0.999754,0.00002095938,0.00002356841,0.000108323,0.00006418323,0.00002891384],"domain_scores_gemma":[0.99944,0.0001242625,0.00006600383,0.00008481925,0.0001851611,0.00009971055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003318895,0.001073585,0.05546518,0.001131962,0.000585261,0.00112268,0.0002583139,0.01314013,0.04944137,0.001125352,0.2480191,0.6253183],"study_design_scores_gemma":[0.0008407083,0.001705824,0.1133459,0.0003365831,0.001036457,0.002822361,0.0003945687,0.6908844,0.09218462,0.008987581,0.0868292,0.0006317787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.1108929,0.004105479,0.2810154,0.0007660895,0.001063794,0.001382054,0.06815158,0.5207666,0.01185623],"genre_scores_gemma":[0.68939,0.001675759,0.2234943,0.001528163,0.0006804112,0.002076132,0.06309258,0.003233217,0.01482945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009394645,"threshold_uncertainty_score":0.03142822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04129495468710166,"score_gpt":0.2680840172572439,"score_spread":0.2267890625701423,"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."}}