{"id":"W2520823949","doi":"10.1177/1541931213601061","title":"The CSSS Microworld","year":2016,"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":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Task (project management); Context (archaeology); Inattentional blindness; Operator (biology); Selection (genetic algorithm); Blindness; Human–computer interaction; Computer security; Artificial intelligence; Psychology; Engineering; Systems 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":[0.0006565981,0.0008190185,0.0002782611,0.0005920206,0.000449136,0.001287962,0.001089842,0.0007320996,0.02961449],"category_scores_gemma":[0.003341075,0.000320023,0.0005941251,0.0005618578,0.0007058504,0.001258076,0.001256153,0.0005439454,0.00515374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006911666,"about_ca_system_score_gemma":0.001153128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005927225,"about_ca_topic_score_gemma":0.009200772,"domain_scores_codex":[0.9994547,0.000186544,0.00003551447,0.0001031725,0.0001483315,0.00007182096],"domain_scores_gemma":[0.9979436,0.0007557492,0.000139636,0.0004351822,0.0003657573,0.0003599878],"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":[0.004022642,0.003854932,0.05339682,0.001381199,0.0002094288,0.002726451,0.004958345,0.08849542,0.04266587,0.08347806,0.3134953,0.4013155],"study_design_scores_gemma":[0.0007315276,0.004452676,0.05745807,0.0003693051,0.0001657552,0.00176911,0.002568136,0.258279,0.02425953,0.04156762,0.6080889,0.0002903185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5956476,0.0004846902,0.1936263,0.00209862,0.0007632846,0.003183149,0.01502612,0.01925551,0.1699147],"genre_scores_gemma":[0.8245921,0.00036002,0.1264792,0.000565379,0.0000916621,0.001742941,0.009388351,0.001083389,0.03569699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02961449,"threshold_uncertainty_score":0.09907031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01837683471721719,"score_gpt":0.2841851368549578,"score_spread":0.2658083021377406,"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."}}