{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03634402,0.001264467,0.0009105722,0.002130165,0.003968877,0.002305479,0.0021556,0.001993411,0.003572306],"category_scores_gemma":[0.04104721,0.001242661,0.001013928,0.001568869,0.002912637,0.002987108,0.004747878,0.002939177,0.0009127141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002421251,"about_ca_system_score_gemma":0.007027573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002356737,"about_ca_topic_score_gemma":0.004333952,"domain_scores_codex":[0.9830292,0.01277049,0.0008970795,0.0006848814,0.000944302,0.001674026],"domain_scores_gemma":[0.935306,0.04347207,0.003088974,0.004194395,0.006711195,0.007227304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.003694028,0.1070368,0.04515476,0.003490983,0.0001511218,0.007565428,0.6076747,0.00349441,0.01554956,0.00212106,0.003474581,0.2005927],"study_design_scores_gemma":[0.005872796,0.1141703,0.09553625,0.001281703,0.0002134651,0.001522348,0.730229,0.006924562,0.01170849,0.002477322,0.02969478,0.0003689743],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898412,0.00006362244,0.00349418,0.000228961,0.00002213804,0.004581612,0.00009816847,0.00006689753,0.001603224],"genre_scores_gemma":[0.9666481,0.000307538,0.01956619,0.0004459172,0.00002916618,0.01126327,0.0002744911,0.00004378759,0.001421513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03634402,"threshold_uncertainty_score":0.1922079,"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."}}