{"id":"W2127258821","doi":"10.1177/0162243915576004","title":"Normalizing Complaint","year":2015,"lang":"en","type":"article","venue":"Science Technology & Human Values","topic":"University-Industry-Government Innovation Models","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Commercialization; Agency (philosophy); Context (archaeology); Complaint; Hegemony; Political science; Sociology; Public relations; Order (exchange); Engineering ethics; Environmental ethics; Epistemology; Social science; Business; Law; Engineering; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["sts"],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008894699,0.0001318752,0.000133564,0.001590339,0.001093758,0.00023066,0.001058541,0.0001560269,0.000102968],"category_scores_gemma":[0.000146177,0.0001339403,0.00002326881,0.003247633,0.001887397,0.002193089,0.0007723002,0.0003353215,0.000330228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000210991,"about_ca_system_score_gemma":0.00006106214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009700075,"about_ca_topic_score_gemma":0.00001392521,"domain_scores_codex":[0.9984496,0.00000356822,0.0001828648,0.0003633936,0.0006028803,0.0003977276],"domain_scores_gemma":[0.9990064,0.000005406013,0.0001868878,0.000378804,0.0004035817,0.00001892655],"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":[0.000002937459,0.00004459014,0.04888453,0.000006515931,0.000005371563,0.00001227231,0.00008108877,0.0001506072,0.008058487,0.9377971,0.004092049,0.0008644823],"study_design_scores_gemma":[0.002463287,0.0001331516,0.0185636,0.0001397233,0.00009224976,0.00003551319,0.02212163,0.02089724,0.01453285,0.6663342,0.2531722,0.001514411],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8806605,0.00001046866,0.0007759231,0.002461217,0.0002367108,0.0001249093,5.783182e-7,0.0006345548,0.1150951],"genre_scores_gemma":[0.9973792,2.215977e-7,0.0008568995,0.0008974578,0.0001671867,0.000003248019,0.000002787019,0.000009453184,0.000683529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2714629,"threshold_uncertainty_score":0.8412414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05976353777438983,"score_gpt":0.2770427215988404,"score_spread":0.2172791838244506,"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."}}