{"id":"W2010640343","doi":"10.1002/meet.1450440370","title":"Scientific infrastructure design: Information environments and knowledge provinces","year":2007,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Disintermediation; Sociotechnical system; Knowledge management; Information infrastructure; Conceptual framework; Computer science; Information system; Data science; Sociology of scientific knowledge; Sociology; World Wide Web; Engineering; Social 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.006387335,0.0001160821,0.0001766141,0.0007987178,0.0008749361,0.0007184165,0.000953311,0.00005804349,0.000002031212],"category_scores_gemma":[0.001308391,0.00007531925,0.00006675485,0.004207392,0.004363673,0.009536992,0.0005282103,0.0001101987,0.000007869638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008371373,"about_ca_system_score_gemma":0.0001447242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003003051,"about_ca_topic_score_gemma":6.537397e-7,"domain_scores_codex":[0.9978585,0.000002180742,0.0006114158,0.0001681131,0.001046789,0.000313015],"domain_scores_gemma":[0.9974374,0.0001052391,0.00103758,0.0001503462,0.001198263,0.00007116823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005499808,0.00002179851,0.03587563,0.00005713502,0.00001863907,7.438747e-9,0.01173804,0.000008857936,0.01135116,0.04749283,0.01568758,0.8776934],"study_design_scores_gemma":[0.0009771209,0.0003845982,0.1625154,0.00003341103,0.0000538649,0.0000191651,0.1150462,0.01144702,0.03687236,0.0168415,0.6553716,0.0004376816],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899386,0.00001939181,0.006725378,0.001301415,0.0001226948,0.0006471663,0.00001276963,0.000042213,0.001190326],"genre_scores_gemma":[0.9896947,0.00002021724,0.009763244,0.0003928709,0.000008554443,0.00002404412,0.00000146152,0.000002052524,0.00009290438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8772557,"threshold_uncertainty_score":0.9983459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05509580876654777,"score_gpt":0.3512754216053079,"score_spread":0.2961796128387602,"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."}}