{"id":"W2247853175","doi":"","title":"Reading Together: Indirect Collaboration through a Social Software Application","year":2012,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Reading (process); Computer science; Software; World Wide Web; Data science; Political science; Programming language","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"],"consensus_categories":[],"category_scores_codex":[0.001302637,0.0002645468,0.0003135196,0.0001744341,0.001198184,0.0003321799,0.0002254212,0.0001966348,0.0003638684],"category_scores_gemma":[0.00013878,0.0003018315,0.00004294902,0.001180024,0.0001407241,0.0008722067,0.00007140047,0.0005756047,0.0001176948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049757,"about_ca_system_score_gemma":0.0005264843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001649061,"about_ca_topic_score_gemma":0.003383623,"domain_scores_codex":[0.9970229,0.0006583068,0.0004342109,0.0005178628,0.0007317338,0.000634975],"domain_scores_gemma":[0.9985411,0.0001459364,0.0007197413,0.0001953749,0.0002001699,0.0001976951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007087805,0.0002514774,0.3906218,0.0001022317,0.00001702116,4.9545e-7,0.02271613,0.000004858676,0.00005495554,0.5215984,0.002164158,0.06239755],"study_design_scores_gemma":[0.0005904517,0.0001394924,0.3765037,0.0003019682,0.0000401519,5.110372e-7,0.02623122,0.0000656324,0.00006000907,0.01474209,0.5806121,0.0007126845],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2789816,0.001290515,0.0005837654,0.0343418,0.003843208,0.002472653,0.0000176035,0.0006358217,0.677833],"genre_scores_gemma":[0.9399476,0.0004432098,0.0005502229,0.000736935,0.001046087,0.0002518093,0.00006181555,0.00003643493,0.05692591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.660966,"threshold_uncertainty_score":0.9999434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08485223306188172,"score_gpt":0.3435132648588093,"score_spread":0.2586610317969276,"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."}}