{"id":"W2098938322","doi":"10.1111/j.1467-8535.2006.00560.x","title":"Developing a comprehensive metric for assessing discussion board effectiveness","year":2006,"lang":"en","type":"article","venue":"British Journal of Educational Technology","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"CLARITY; Computer science; Metric (unit); Discussion board; Key (lock); Quality (philosophy); Online discussion; Thread (computing); Data science; World Wide Web; Computer security; Operations management","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":[],"consensus_categories":[],"category_scores_codex":[0.0005537992,0.00006257539,0.0001898934,0.0004405136,0.0005088153,0.0001065433,0.000203185,0.0001304056,0.00002593957],"category_scores_gemma":[0.001124747,0.00005936158,0.00008078002,0.0007610306,0.0001577374,0.0002826778,0.0000226208,0.0002324912,0.000002310419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002277809,"about_ca_system_score_gemma":0.001401887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001715939,"about_ca_topic_score_gemma":0.0001610512,"domain_scores_codex":[0.9990337,0.0001442641,0.0002852907,0.0001153378,0.0002122225,0.0002092179],"domain_scores_gemma":[0.998199,0.0007019728,0.0003058455,0.00003917797,0.0007194371,0.00003450368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003926687,0.0004953707,0.06184671,0.00009944743,0.00009406819,0.00003482459,0.0002388053,0.0003228116,0.0015696,0.3185623,0.004025206,0.6126716],"study_design_scores_gemma":[0.001085674,0.0001069873,0.1482532,0.0009695723,0.00004705837,0.0006335379,0.008974174,0.00001551215,0.0008033745,0.4055978,0.4332002,0.0003128739],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951133,0.002524744,0.01138938,0.03343885,0.000728003,0.0001840031,0.000003040989,0.00002605158,0.0005729903],"genre_scores_gemma":[0.9335008,0.0001194714,0.0653714,0.00002712533,0.0007491084,0.00001239088,0.000006265212,0.000009523362,0.0002038566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6123587,"threshold_uncertainty_score":0.3913447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02276563632103815,"score_gpt":0.3706955204096431,"score_spread":0.3479298840886049,"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."}}