{"id":"W2537464753","doi":"10.2196/humanfactors.5364","title":"Strengthening Interprofessional Requirements Engineering Through Action Sheets: A Pilot Study","year":2016,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Action (physics); Engineering; Engineering ethics; Engineering management; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000359111,0.0002649164,0.0002447902,0.0002097513,0.001036027,0.00002235357,0.0002551606,0.0001147868,0.005358783],"category_scores_gemma":[0.0001741252,0.0001704048,0.00004916844,0.0002720263,0.00002932859,0.000740342,0.0001563532,0.0004777743,0.0004059636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006304562,"about_ca_system_score_gemma":0.0003926891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000158132,"about_ca_topic_score_gemma":0.0002717255,"domain_scores_codex":[0.9975083,0.0003856797,0.0007248457,0.0003985181,0.0005204291,0.000462185],"domain_scores_gemma":[0.9986084,0.0003379972,0.0003331794,0.0003466467,0.0002493812,0.0001243765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001004477,0.002995585,0.6686255,0.0001745547,0.0002121002,0.000004556598,0.06203097,0.000004973898,0.2308155,0.008764271,0.02338802,0.001979435],"study_design_scores_gemma":[0.003761748,0.002270531,0.9080756,0.002273034,0.00004020586,5.805483e-7,0.06762546,0.00002700703,0.001558822,0.0008094372,0.01283703,0.0007205614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916945,0.000005804991,0.000517566,0.0004772698,0.003642118,0.001321005,0.00001820879,0.000265028,0.002058551],"genre_scores_gemma":[0.9889707,0.000001472355,0.0001146653,0.0002424759,0.0004899564,0.0006894323,0.00004104115,0.00004832385,0.009401964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.23945,"threshold_uncertainty_score":0.9955505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1480863911045468,"score_gpt":0.488109019062341,"score_spread":0.3400226279577943,"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."}}