{"id":"W1999053430","doi":"10.1177/1071181311551069","title":"Mapping Ecologically to Modalities","year":2011,"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":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; University of Waterloo","funders":"","keywords":"Affordance; Modalities; Perception; Computer science; Human–computer interaction; Interface (matter); Control (management); Interface design; Work (physics); Cognition; Artificial intelligence; Psychology; Engineering","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":[0.002662709,0.000858103,0.0003652927,0.00340589,0.001138725,0.003864144,0.0007485129,0.0008070216,0.009964133],"category_scores_gemma":[0.02829998,0.0006045086,0.0007513321,0.001493066,0.002609034,0.004393903,0.005892194,0.0008925905,0.001207239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212069,"about_ca_system_score_gemma":0.00133754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00417429,"about_ca_topic_score_gemma":0.005131963,"domain_scores_codex":[0.9970698,0.001200189,0.0001661042,0.0006520355,0.0006588899,0.0002529762],"domain_scores_gemma":[0.9938554,0.002399893,0.0006344019,0.001261121,0.001671601,0.0001774884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008197624,0.0003661468,0.0995912,0.001630906,0.0002012741,0.0006370355,0.02614145,0.02158765,0.08461293,0.125234,0.003397929,0.6357796],"study_design_scores_gemma":[0.0001196651,0.001017966,0.2703145,0.001384241,0.0004134971,0.00154162,0.03186984,0.0872575,0.04779678,0.4641071,0.0938373,0.0003400501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3200067,0.001321765,0.5763456,0.001154226,0.0001527945,0.0005668222,0.001396086,0.001503248,0.09755275],"genre_scores_gemma":[0.8689565,0.0004559711,0.1263824,0.0002204179,0.00002650379,0.0004896707,0.0003999785,0.0002968654,0.00277162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009964133,"threshold_uncertainty_score":0.03333336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04911265689574962,"score_gpt":0.2879829302267638,"score_spread":0.2388702733310142,"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."}}