{"id":"W2902473618","doi":"","title":"Beyond Sociograms Inspection: What Social Network Analysis Has To Offer to Measure Cohesion in CSCL.","year":2013,"lang":"en","type":"article","venue":"Computer Supported Collaborative Learning","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Cohesion (chemistry); Measure (data warehouse); Computer science; Social network analysis; Data science; World Wide Web; Data mining; Social media; Chemistry","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002606125,0.0004436666,0.0008505715,0.001138658,0.00103599,0.0008070759,0.0003665725,0.0003411421,0.001555255],"category_scores_gemma":[0.0001584678,0.0004537734,0.0001889165,0.01175253,0.0001266102,0.0004586219,0.0001868969,0.001520517,0.0008253022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002738191,"about_ca_system_score_gemma":0.0001383258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003301496,"about_ca_topic_score_gemma":0.0002569721,"domain_scores_codex":[0.9925684,0.004400829,0.0006881814,0.0009926627,0.0004593998,0.0008905595],"domain_scores_gemma":[0.9976115,0.0003867016,0.0003111017,0.0003651387,0.001095452,0.0002301266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002903719,0.0003182227,0.338276,0.00001371413,0.001935834,0.00007999309,0.1717591,0.05592993,0.0005822565,0.001867074,0.1342732,0.2946743],"study_design_scores_gemma":[0.001040737,0.0008064465,0.9292268,0.00008197515,0.0001639021,0.000003924986,0.01079899,0.004014216,0.00002900913,0.0003327649,0.05273362,0.0007676172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5837334,0.000161984,0.4015286,0.007043701,0.002025462,0.001117317,0.000003066031,0.0005328046,0.003853656],"genre_scores_gemma":[0.9657239,0.000001965974,0.02799948,0.002738475,0.001340426,0.0002660539,0.00009403127,0.00006852698,0.001767177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5909508,"threshold_uncertainty_score":0.9999527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03479494704709368,"score_gpt":0.3321993521035651,"score_spread":0.2974044050564714,"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."}}