{"id":"W1963269858","doi":"10.1111/j.1540-4781.2012.01397.x","title":"Positioning the Expert: Word Searches, Expertise, and Learning Opportunities in Peer Interaction","year":2012,"lang":"en","type":"article","venue":"Modern Language Journal","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Negotiation; Conversation; Conversation analysis; Interpersonal communication; Context (archaeology); Computer science; Process (computing); Focus (optics); Knowledge management; Cognitive science; Psychology; Sociology; Social psychology; Communication","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008908422,0.0001238181,0.0001230521,0.0001300336,0.0007422198,0.0007528228,0.0001797694,0.0000332668,0.001539528],"category_scores_gemma":[0.00008343712,0.00008343406,0.00004588053,0.00002385844,0.0001684898,0.001190024,0.00008420295,0.0007594322,0.00001152005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007735637,"about_ca_system_score_gemma":0.00003019409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004674297,"about_ca_topic_score_gemma":0.0004122621,"domain_scores_codex":[0.998732,0.0003757553,0.0002293245,0.00008120474,0.0002929149,0.0002887578],"domain_scores_gemma":[0.9993839,0.0001524509,0.000119761,0.000164336,0.00009272619,0.000086829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002591365,0.00005642397,0.0003699005,0.000006607626,0.0000316261,0.00003004979,0.9308103,0.00004591149,0.0005877589,0.006187304,0.001129444,0.06071874],"study_design_scores_gemma":[0.0003363668,0.00002901026,0.001090353,0.0001210194,0.00001384115,0.0002868411,0.9598047,0.001340776,0.0001241484,0.0004120535,0.03624323,0.0001976855],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9090749,0.01701014,0.000407845,0.004547166,0.0003827879,0.0001040647,0.000003576133,0.00006755983,0.06840196],"genre_scores_gemma":[0.9878868,0.0003253368,0.0001667085,0.0004181508,0.0009301243,0.00001631791,0.00001235279,0.00002177408,0.01022236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07881197,"threshold_uncertainty_score":0.9993732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1308629741173456,"score_gpt":0.337797735183871,"score_spread":0.2069347610665254,"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."}}