{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01284706,0.0004960222,0.0002711812,0.004888031,0.004214719,0.00838931,0.001204995,0.001560099,0.006394165],"category_scores_gemma":[0.05298628,0.0003500801,0.0004469996,0.004463451,0.005055235,0.01493492,0.007489823,0.0020916,0.0007014006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002298498,"about_ca_system_score_gemma":0.002758117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003493084,"about_ca_topic_score_gemma":0.006720987,"domain_scores_codex":[0.9873065,0.01068078,0.0002685641,0.0007021738,0.000816328,0.0002256469],"domain_scores_gemma":[0.9331061,0.05964432,0.002337151,0.002547348,0.001588741,0.0007763368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002331868,0.0001860641,0.01726751,0.0007714525,0.000127593,0.0007397036,0.2773584,0.003329601,0.002708525,0.5196756,0.006254931,0.1713475],"study_design_scores_gemma":[0.00005615555,0.00007555381,0.00784163,0.001140077,0.0001658249,0.000485159,0.1599304,0.03917476,0.003445375,0.6876433,0.09995825,0.00008346885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2474531,0.00185434,0.6118798,0.008477503,0.0002534619,0.0006544948,0.0008319878,0.0006917611,0.1279036],"genre_scores_gemma":[0.8317798,0.0006629091,0.1591703,0.0002006256,0.00004253398,0.0006873268,0.0004707901,0.0001666301,0.006819181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01284706,"threshold_uncertainty_score":0.06794262,"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."}}