{"id":"W4400681119","doi":"10.3390/healthcare12141417","title":"Usability Evaluation Ecological Validity: Is More Always Better?","year":2024,"lang":"en","type":"article","venue":"Healthcare","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Agence Nationale de la Recherche","keywords":"Usability; Computer science; Ecological validity; Ecology; Data science; Psychology; Human–computer interaction; Biology; Cognition","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3452866,0.0009915914,0.003131308,0.00389048,0.002196746,0.008906033,0.002060971,0.00214418,0.002835421],"category_scores_gemma":[0.5649071,0.0006045368,0.003311672,0.003676964,0.01056064,0.01057206,0.004392141,0.004266682,0.000515235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005609991,"about_ca_system_score_gemma":0.008337095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003357915,"about_ca_topic_score_gemma":0.004168425,"domain_scores_codex":[0.5023599,0.3673223,0.04178799,0.01005745,0.07531222,0.003160118],"domain_scores_gemma":[0.2431283,0.5657831,0.05192828,0.04480433,0.08923299,0.005122987],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002595077,0.001580902,0.2295215,0.01423037,0.003346845,0.0002934983,0.02307201,0.001558399,0.00364082,0.02040415,0.0112497,0.6885068],"study_design_scores_gemma":[0.001135322,0.01499075,0.6718703,0.0513184,0.003447491,0.002093893,0.03003729,0.0138159,0.01023276,0.1169333,0.08259648,0.001528184],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5194871,0.0686837,0.244071,0.09590636,0.005137587,0.005847604,0.0008613442,0.001108026,0.05889732],"genre_scores_gemma":[0.9216117,0.004412197,0.06085541,0.008714939,0.0008971294,0.002187766,0.0002304531,0.0002981275,0.0007923068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6547134,"threshold_uncertainty_score":0.8073782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1792132486990588,"score_gpt":0.3925359105059862,"score_spread":0.2133226618069275,"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."}}