{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004896668,0.0001543024,0.0001611131,0.00001829332,0.0009736202,0.0000782181,0.000347328,0.0000921188,0.0001041891],"category_scores_gemma":[0.00007629258,0.00007410557,0.0002315405,0.00006702232,0.0002988902,0.0001876542,0.000165698,0.0001720724,0.00001233152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006047878,"about_ca_system_score_gemma":0.00000981364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004956906,"about_ca_topic_score_gemma":0.00001291132,"domain_scores_codex":[0.9990183,0.00001406685,0.0003768921,0.0002267595,0.0001008833,0.000263113],"domain_scores_gemma":[0.9990407,0.0002394558,0.0003894611,0.000114485,0.0001599874,0.00005591457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002279294,0.0001834087,0.3210328,0.0001127331,0.0007294525,1.087619e-7,0.1201679,0.00000174045,0.09939326,0.2343995,0.2154314,0.008319746],"study_design_scores_gemma":[0.001710075,0.0001405386,0.6106966,0.0003713675,0.00009810793,0.00001260758,0.09793425,0.00003660608,0.02223627,0.004508639,0.2615544,0.0007005168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869281,0.00007687607,0.000004574778,0.001043895,0.0005624454,0.0001278942,0.00002173171,0.00004963512,0.01118483],"genre_scores_gemma":[0.9925211,0.00004689219,0.00005414316,0.000160458,0.0001616974,0.00001063802,5.270992e-7,0.00001915321,0.007025403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2896639,"threshold_uncertainty_score":0.7488398,"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."}}