{"id":"W4221082570","doi":"10.1007/s12553-022-00655-w","title":"Involvement of frontline clinicians in healthcare technology development: Lessons learned from a ventilator project","year":2022,"lang":"en","type":"article","venue":"Health and Technology","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; Simon Fraser University; University of British Columbia; University of British Columbia Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Context (archaeology); Health care; Agile software development; New product development; Inclusion (mineral); Focus group; Product (mathematics); Best practice; Knowledge management; Process management; Business; Medicine; Computer science; Psychology; Marketing; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005813063,0.0001954252,0.0007549516,0.001961266,0.0003227218,0.00000192939,0.0002075276,0.0004609595,0.00001762268],"category_scores_gemma":[0.000182403,0.0002091556,0.00003478229,0.001715077,0.000221691,0.00002532733,0.0002789962,0.001438906,0.000003466022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003756697,"about_ca_system_score_gemma":0.002058633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001498074,"about_ca_topic_score_gemma":0.001110151,"domain_scores_codex":[0.9974638,0.0001114836,0.0009744155,0.0005740434,0.0002256739,0.0006505705],"domain_scores_gemma":[0.9988572,0.00005746432,0.0003712381,0.0004889412,0.00008612654,0.0001390496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002710423,0.000381352,0.6914277,0.0003978157,0.0000381902,0.00005833731,0.0009276327,3.469241e-7,0.00022099,0.004627856,0.0001294029,0.3015193],"study_design_scores_gemma":[0.02502572,0.02494212,0.1281243,0.003239356,0.000116354,0.0004984083,0.06497114,0.0003324048,0.02011307,0.06561315,0.6652275,0.001796445],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8545805,0.009478264,0.0000316208,0.1343186,0.0002358409,0.0009419083,0.00004616602,0.0003495928,0.00001748989],"genre_scores_gemma":[0.9931972,0.0009678816,0.004019574,0.001125577,0.00002617674,0.0004838898,0.0001116465,0.00002796285,0.00004007186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6650981,"threshold_uncertainty_score":0.8529118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1311818677007823,"score_gpt":0.4025336299316406,"score_spread":0.2713517622308583,"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."}}