{"id":"W2485806432","doi":"10.4018/978-1-4666-4490-8.ch043","title":"Human Factors in Computer Science, New Technologies, and Scientific Information","year":2013,"lang":"en","type":"book-chapter","venue":"Advances in human and social aspects of technology book series","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Electronic Arts (Canada)","funders":"","keywords":"Set (abstract data type); Rhetorical question; Computer science; Data science; Factor (programming language); Information science; Work (physics); Neutrality; Engineering ethics; Management science; Engineering; Political science; Library science","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0002216596,0.0002992916,0.0004960948,0.002765805,0.0006654313,0.0003182906,0.001168455,0.0004825556,0.00001417346],"category_scores_gemma":[0.00003877898,0.0003039001,0.00003186992,0.0006673333,0.005391269,0.00587821,0.001216905,0.00057147,0.000004432859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001310579,"about_ca_system_score_gemma":0.0001776667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002883813,"about_ca_topic_score_gemma":0.0003404687,"domain_scores_codex":[0.9982076,0.000006305726,0.0006001579,0.0005350609,0.0003092137,0.0003417118],"domain_scores_gemma":[0.9988357,0.00002449923,0.0004540206,0.0004617809,0.0001969192,0.00002711572],"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":[6.067272e-7,0.000008238734,0.0005225147,0.00003805361,0.000004756347,0.00000215829,0.0009235722,0.000001700486,0.00007677795,0.9537292,0.00006007856,0.0446323],"study_design_scores_gemma":[0.000282874,0.0001679582,0.001136606,0.0001630772,0.000004369457,0.000007306366,0.0004111457,0.00001432604,0.0006854466,0.9195463,0.07719197,0.0003885845],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3712674,0.02643946,0.02355671,0.01557263,0.003496308,0.007884813,0.0001141303,0.008007066,0.5436615],"genre_scores_gemma":[0.9418352,0.0007661742,0.0328394,0.0001250664,0.00007609322,0.00005450206,0.00004275533,0.00005105168,0.02420977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5705678,"threshold_uncertainty_score":0.9999413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01055696369781382,"score_gpt":0.2484785331826853,"score_spread":0.2379215694848715,"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."}}