{"id":"W6931326352","doi":"10.5281/zenodo.5498113","title":"Annotating the digital margins: A metaliteracy approach for online asynchronous class discussions and collaboration","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Conversation; Asynchronous communication; Session (web analytics); Class (philosophy); Annotation; Collaborative learning; Critical thinking; Computer-mediated communication","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":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006435778,0.00008390114,0.00009165237,0.00006818573,0.004594618,0.002906624,0.000312043,0.00004851598,0.0006887893],"category_scores_gemma":[0.002353883,0.00006949301,0.00003038235,0.0009367595,0.0002108216,0.0006084185,0.0002173303,0.0001171244,0.00007116565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001333061,"about_ca_system_score_gemma":0.00004358653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001007858,"about_ca_topic_score_gemma":0.000007219113,"domain_scores_codex":[0.9986385,0.000371562,0.0001951551,0.0002803887,0.000295243,0.000219193],"domain_scores_gemma":[0.9983023,0.00007135457,0.00009911656,0.0002144247,0.001205309,0.0001075175],"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":[0.00007422302,0.0008759712,0.00002893691,0.0001008314,0.0001029859,0.00000331056,0.08982113,0.0002576839,0.001701181,0.2836094,0.1233601,0.5000642],"study_design_scores_gemma":[0.0002437536,0.00004256543,0.0003033269,0.00001012804,0.00001457193,0.000007876573,0.05186252,0.001834754,0.00003383973,0.0005099301,0.9450381,0.00009867387],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.21199,0.001244908,0.09064386,0.09551504,0.001122304,0.005099009,0.003537553,0.00169645,0.5891508],"genre_scores_gemma":[0.9872992,0.000107037,0.003389514,0.0003668193,0.0004539317,6.476394e-7,0.004657488,0.000300334,0.003425011],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8216779,"threshold_uncertainty_score":0.9981285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03477881238130798,"score_gpt":0.3108679863324662,"score_spread":0.2760891739511582,"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."}}