{"id":"W2132902573","doi":"10.1177/154193120004402219","title":"Design of Ecological Interfaces","year":2000,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Design Education and Practice","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Session (web analytics); Interface (matter); Interface design; Computer science; Ecology; Design elements and principles; Human–computer interaction; Software engineering; World Wide Web; Biology","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":[0.002511945,0.001054016,0.0005805286,0.0009029838,0.001285187,0.002924226,0.001960221,0.001321912,0.01850022],"category_scores_gemma":[0.004183626,0.0006936385,0.0008471948,0.0003648256,0.001126823,0.002417011,0.003948618,0.0008805647,0.00294737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006294327,"about_ca_system_score_gemma":0.0009457601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005806017,"about_ca_topic_score_gemma":0.001055933,"domain_scores_codex":[0.9980488,0.0009066016,0.0001034666,0.0001663271,0.0006208222,0.0001539828],"domain_scores_gemma":[0.9992996,0.0002546044,0.00003457843,0.0001194746,0.0002057897,0.0000860143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002710193,0.0002931709,0.003375689,0.001681399,0.0001633894,0.0006378317,0.003604282,0.06739693,0.04430009,0.4082315,0.03101847,0.4390262],"study_design_scores_gemma":[0.0001529592,0.0005444331,0.001823146,0.0004480672,0.0001221954,0.001075689,0.001825765,0.1446591,0.01813046,0.2060097,0.6251006,0.0001079941],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007481732,0.001012684,0.9471888,0.0005510707,0.0002809756,0.0005173325,0.00009892599,0.001094248,0.04177425],"genre_scores_gemma":[0.1861831,0.00203777,0.7656232,0.0005879388,0.0001051542,0.002243367,0.0004098564,0.0005015988,0.04230805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01850022,"threshold_uncertainty_score":0.06188935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02196954583842539,"score_gpt":0.2348733806808531,"score_spread":0.2129038348424277,"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."}}