{"id":"W3159190941","doi":"","title":"Using Epistemic Network Analysis to Explore Ways of Contributing to Knowledge Building Discourse.","year":2019,"lang":"en","type":"article","venue":"Computer Supported Collaborative Learning","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Knowledge building; Computer science; Epistemology; Sociology; Actor–network theory; Discourse analysis; Knowledge management; Linguistics; Social science; Philosophy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004174234,0.0004346308,0.001159539,0.0009878605,0.0004730065,0.0001005831,0.000476719,0.0002221059,0.0004553319],"category_scores_gemma":[0.0003431017,0.0004438712,0.0002137026,0.008977615,0.00007468431,0.0001365998,0.0003917922,0.001199977,0.0001867639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002012458,"about_ca_system_score_gemma":0.000178714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000602515,"about_ca_topic_score_gemma":0.000004728282,"domain_scores_codex":[0.9937723,0.002859269,0.0008934305,0.0009608471,0.0003133018,0.001200831],"domain_scores_gemma":[0.996365,0.001038174,0.0006487937,0.0006054819,0.001138887,0.0002037085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002277332,0.0001080243,0.4236152,0.00003940074,0.002618837,0.00005160942,0.06336088,0.4723012,0.01015302,0.008575422,0.002508622,0.01644002],"study_design_scores_gemma":[0.00592396,0.005395004,0.4998209,0.001756675,0.002683495,0.00006220418,0.04463683,0.3033355,0.004225065,0.0006810055,0.1267207,0.004758649],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4860968,0.00006885821,0.5106255,0.0005218923,0.0006943551,0.0004070429,0.000005169169,0.0001210103,0.001459379],"genre_scores_gemma":[0.8638944,3.129558e-7,0.1337156,0.0009125625,0.0006355541,0.00002870512,0.00004283236,0.00006515325,0.0007048784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3777976,"threshold_uncertainty_score":0.9998013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09892112145339961,"score_gpt":0.4215272000209611,"score_spread":0.3226060785675615,"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."}}