{"id":"W2052634835","doi":"10.1016/j.linged.2011.02.007","title":"Participant interaction in asynchronous learning environments: Evaluating interaction analysis methods","year":2011,"lang":"en","type":"article","venue":"Linguistics and Education","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Roads University","funders":"","keywords":"Cohesion (chemistry); Thematic analysis; Psychology; Qualitative analysis; Group cohesiveness; Content analysis; Computer science; Natural language processing; Social psychology; Qualitative research; Sociology","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":[0.04928443,0.001440345,0.001165216,0.00303076,0.001583291,0.00350886,0.002042254,0.001752449,0.003986889],"category_scores_gemma":[0.1871675,0.0005754568,0.001046781,0.001673165,0.001022065,0.004700199,0.003948945,0.001259295,0.0008532323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111049,"about_ca_system_score_gemma":0.001828866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001004551,"about_ca_topic_score_gemma":0.001244715,"domain_scores_codex":[0.9256856,0.06061259,0.003476854,0.003183752,0.006282675,0.0007585345],"domain_scores_gemma":[0.4931127,0.4707026,0.00918333,0.006127708,0.01868925,0.002184414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.04164584,0.007973937,0.08574639,0.00641732,0.001679649,0.0002455081,0.06646542,0.008935578,0.01576033,0.006593687,0.002187042,0.7563493],"study_design_scores_gemma":[0.01911839,0.08298545,0.2467325,0.004025032,0.009011523,0.002012548,0.100893,0.3722476,0.08562255,0.03811032,0.03787819,0.001363023],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7016045,0.001276623,0.2854814,0.0002214783,0.0002224475,0.0047144,0.0004973538,0.0006267744,0.005354992],"genre_scores_gemma":[0.7691554,0.0005798222,0.2178877,0.0001320573,0.000147085,0.008915485,0.0005071335,0.0002414469,0.002433876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04928443,"threshold_uncertainty_score":0.2606441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1318449758109116,"score_gpt":0.4803593379557797,"score_spread":0.3485143621448681,"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."}}