{"id":"W2912123262","doi":"10.1145/3251808","title":"Session details: Health Sensors & Monitoring","year":2015,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Session (web analytics); Computer science; World Wide Web","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":[0.0002378927,0.0001741835,0.000183548,0.00009575985,0.0000592483,0.00004834755,0.0001234726,0.00006535308,0.00002044695],"category_scores_gemma":[0.00005656318,0.0001641125,0.00004181022,0.0002140054,0.00001327397,0.0002422506,0.00004853705,0.0001774313,0.0005010715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003293702,"about_ca_system_score_gemma":0.00004046462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009956762,"about_ca_topic_score_gemma":0.00001379691,"domain_scores_codex":[0.9989014,0.0000318667,0.0002254019,0.000171655,0.000266857,0.0004028556],"domain_scores_gemma":[0.9992403,0.00004531054,0.00002558707,0.000259203,0.00005359783,0.0003760013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003344402,0.0001107175,0.4087934,0.0005380415,0.0001712483,0.00006626,0.005088531,0.09753796,0.3802252,0.00037932,0.03814254,0.06891343],"study_design_scores_gemma":[0.002577711,0.0002755601,0.01278846,0.0008897919,0.000031516,0.0001070878,0.005330777,0.002247744,0.8821276,0.001680945,0.08958144,0.002361355],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597992,0.001089286,0.01952218,0.0001105117,0.003305948,0.000192203,0.00000218917,0.001465655,0.01451282],"genre_scores_gemma":[0.9833156,0.00006402922,0.01523858,0.00001502131,0.000737009,0.00001079491,0.000002558915,0.00005734341,0.0005590586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5019025,"threshold_uncertainty_score":0.6692314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05943519323171073,"score_gpt":0.2933956090764784,"score_spread":0.2339604158447676,"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."}}