{"id":"W4320179485","doi":"10.22492/issn.2186-5892.2023.3","title":"E-learning Meets Educational Key Opinion Leaders (Edu-KOLs): A Close-Up Look on Exuberant Platforms and Their Success Ingredients","year":2023,"lang":"en","type":"article","venue":"Asian Conference on Education official conference proceedings/ACE","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"Australian Government","keywords":"Key (lock); Computer science; Opinion leadership; Constructivism (international relations); Multimedia; Political science; Public relations; Computer security","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":[0.006265121,0.0002877174,0.0001997025,0.001212059,0.002882169,0.01046324,0.0008724877,0.001725882,0.02154037],"category_scores_gemma":[0.02184155,0.0002101977,0.0002412395,0.001850298,0.002271773,0.01544722,0.005095833,0.003064221,0.00457246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001275621,"about_ca_system_score_gemma":0.00146561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009820809,"about_ca_topic_score_gemma":0.002346802,"domain_scores_codex":[0.9967946,0.001660045,0.00006897841,0.0002067495,0.0007172773,0.000552373],"domain_scores_gemma":[0.9797748,0.01078754,0.001872546,0.0007943432,0.002282987,0.004487896],"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":[0.0005535249,0.0005217581,0.04952095,0.0006323077,0.00005591378,0.0006246423,0.04181293,0.0001646504,0.001026589,0.1877257,0.1388941,0.578467],"study_design_scores_gemma":[0.00008200169,0.0007946061,0.06179985,0.001694723,0.00006329388,0.0004409755,0.164948,0.001654291,0.001871147,0.07151075,0.6949936,0.000146637],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3919166,0.01326978,0.005097363,0.2019902,0.004903459,0.0001380076,0.0009309714,0.0004664139,0.3812871],"genre_scores_gemma":[0.9506155,0.004439505,0.002029751,0.006495072,0.001231317,0.00007162275,0.0003112349,0.0001964034,0.03460952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02154037,"threshold_uncertainty_score":0.07205975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03783059509344041,"score_gpt":0.3148704071563247,"score_spread":0.2770398120628843,"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."}}