{"id":"W2032026162","doi":"10.1177/0270467608322587","title":"A Network Model of Expertise","year":2008,"lang":"en","type":"article","venue":"Bulletin of Science Technology & Society","topic":"Education, Healthcare and Sociology Research","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Compromise; Computer science; Forcing (mathematics); Excellence; Range (aeronautics); Common ground; Data science; Management science; Epistemology; Sociology; Engineering; Mathematics; 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":[0.001343512,0.000106958,0.0002852089,0.0001618801,0.0005298752,0.000001854876,0.0008782647,0.0004169508,0.0005177739],"category_scores_gemma":[0.0001699118,0.0001013159,0.0001142862,0.001336226,0.01580868,0.00002297288,0.0001729487,0.0003980623,0.00005260892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007278204,"about_ca_system_score_gemma":0.0005829086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001842325,"about_ca_topic_score_gemma":0.00000222674,"domain_scores_codex":[0.9982138,0.00005550745,0.0003753712,0.0004250036,0.0002992906,0.0006310561],"domain_scores_gemma":[0.9985813,0.0001201955,0.0001808176,0.000613312,0.0004230511,0.00008129802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005263655,0.0008263723,0.1848984,0.00006083341,0.00009254142,0.00000603323,0.09602225,0.0002496819,0.01732088,0.1102023,0.5852782,0.004989874],"study_design_scores_gemma":[0.007652152,0.004980711,0.1973726,0.000472484,0.0001503809,0.0007993276,0.4751745,0.006063119,0.03730715,0.146706,0.120304,0.003017638],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974596,0.001852343,0.0004022426,0.01711969,0.0002258736,0.000201796,0.000003400372,0.00009501607,0.005503631],"genre_scores_gemma":[0.9855361,0.0004644725,0.0111964,0.0006781557,0.0000510181,0.00007151921,8.51939e-7,0.000009822913,0.001991651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4649742,"threshold_uncertainty_score":0.9868698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0893702443266304,"score_gpt":0.3941415880100224,"score_spread":0.304771343683392,"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."}}