{"id":"W4256594222","doi":"10.1002/bult.2007.1720330210","title":"Reflections","year":2007,"lang":"en","type":"article","venue":"Bulletin of the American Society for Information Science and Technology","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Tribute; BATES; Surprise; Pleasure; Sociology; Diversity (politics); Psychology; Library science; Media studies; Political science; Computer science; Law; Social psychology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002560494,0.00005524211,0.00009977737,0.0001567694,0.001201479,0.00004442154,0.0005649053,0.00006113672,0.00001221154],"category_scores_gemma":[0.0008894932,0.00004387383,0.0000810164,0.002544735,0.00816458,0.0001951252,0.0001052353,0.0001110277,0.00001061391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009557913,"about_ca_system_score_gemma":0.0002890745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007394819,"about_ca_topic_score_gemma":0.0001032474,"domain_scores_codex":[0.9989522,0.000008734153,0.0002291962,0.00009637965,0.0004014575,0.0003121034],"domain_scores_gemma":[0.998612,0.0001038345,0.0003047986,0.0001755694,0.0007611509,0.00004259526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001143778,0.0000210176,0.0007035686,0.00001135364,0.00001244704,2.996307e-8,0.01045153,0.000002791487,0.001270502,0.9001616,0.01128267,0.07607109],"study_design_scores_gemma":[0.00006033238,0.00007371532,0.0007395998,0.000004991986,0.000006165214,0.000002543019,0.06341311,0.00001804653,0.004786258,0.005441837,0.9253832,0.00007027266],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5566629,0.0001059685,0.01690924,0.1231994,0.0008974674,0.001669795,0.00002917531,0.0004478268,0.3000782],"genre_scores_gemma":[0.991242,0.0001032361,0.00692658,0.001458137,0.00002955629,0.000013198,3.942893e-7,0.000002167852,0.000224744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9141005,"threshold_uncertainty_score":0.9945346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0219386958656631,"score_gpt":0.3575436636367348,"score_spread":0.3356049677710717,"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."}}