{"id":"W2781441426","doi":"10.2533/chimia.2017.872","title":"SWISS SYMPOSIUM in Point-of-Care Diagnostics at HES-SO Valais","year":2017,"lang":"en","type":"article","venue":"CHIMIA International Journal for Chemistry","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Point of care; Pharmacy; Point (geometry); Business; Key (lock); Medicine; Nursing; Computer science; Computer security","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006554534,0.0001679466,0.000313128,0.00005606823,0.001361179,0.00005068196,0.001019929,0.0003132597,0.000481204],"category_scores_gemma":[0.002323511,0.0001596867,0.0002193738,0.00002607068,0.0001310097,0.0001871288,0.0002983108,0.0008839729,0.00002934541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007892096,"about_ca_system_score_gemma":0.0004834112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000107064,"about_ca_topic_score_gemma":0.0001662319,"domain_scores_codex":[0.997942,0.00008090831,0.0009258706,0.0002216249,0.0004403808,0.0003892735],"domain_scores_gemma":[0.9965734,0.0009717593,0.0009429771,0.0004017182,0.0009135998,0.000196485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001369975,0.0001500561,0.948431,0.00337103,0.0002250083,0.0001285313,0.01460774,0.00008925988,0.01021548,0.001598729,0.01708575,0.002727454],"study_design_scores_gemma":[0.01914682,0.000393418,0.5265878,0.01474869,0.0001935726,0.00046224,0.02382424,0.0008729468,0.09355052,0.0274063,0.2910022,0.001811215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552823,0.0005798945,0.00009041915,0.02832465,0.005720573,0.0004155046,0.0005164483,0.00002351176,0.009046682],"genre_scores_gemma":[0.9939026,0.001188011,0.0003312593,0.0004782483,0.001914413,0.00006016289,0.0001426432,0.00002944409,0.001953208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4218432,"threshold_uncertainty_score":0.9999389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06744969522493552,"score_gpt":0.479653498831226,"score_spread":0.4122038036062905,"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."}}