{"id":"W2015879104","doi":"10.1177/1071181312561393","title":"Towards a Comprehensive Framework for Display Compatibility","year":2012,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Compatibility (geochemistry); Notional amount; Computer science; Stimulus–response compatibility; Human–computer interaction; Engineering; Cognition; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.01476185,0.002062561,0.001468407,0.005008026,0.00345802,0.01274239,0.004229886,0.005229266,0.008529692],"category_scores_gemma":[0.01783725,0.001878587,0.002672125,0.003080384,0.015393,0.02361214,0.007397024,0.007013748,0.001847411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003604581,"about_ca_system_score_gemma":0.003642156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00321856,"about_ca_topic_score_gemma":0.001616405,"domain_scores_codex":[0.9893115,0.005536471,0.0008662274,0.001359339,0.002388168,0.0005382217],"domain_scores_gemma":[0.9889832,0.005449581,0.0006303873,0.002119756,0.002266136,0.0005509969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006965372,0.00001310629,0.00009657508,0.00006516549,0.000007867558,0.00004514803,0.0005356956,0.00105305,0.0002816158,0.990144,0.0005751013,0.007175712],"study_design_scores_gemma":[0.00001486765,0.00004301207,0.0001739374,0.0002220264,0.00002430372,0.0002205986,0.000446723,0.01387728,0.0005955184,0.9528614,0.03148206,0.00003822782],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002712519,0.00108767,0.9737703,0.002591933,0.0001381001,0.00009024919,0.00005602444,0.000372284,0.01918093],"genre_scores_gemma":[0.1403066,0.001611315,0.8505207,0.0009086705,0.0003556481,0.0006345219,0.0002231097,0.0004282201,0.005011104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01476185,"threshold_uncertainty_score":0.07806903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04514167736133735,"score_gpt":0.3445847599457354,"score_spread":0.2994430825843981,"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."}}