{"id":"W2892230812","doi":"10.17161/iallt.v48i0.8576","title":"Collaboration Two-Way","year":2018,"lang":"en","type":"article","venue":"IALLT Journal of Language Learning Technologies","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cohesion (chemistry); German; Workload; Grammar; Vocabulary; Perspective (graphical); Collaborative writing; Psychology; Computer science; Affect (linguistics); Quality (philosophy); Product (mathematics); Linguistics; Mathematics education; Artificial intelligence; Mathematics; Communication; Epistemology","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":[0.007264153,0.001009571,0.0006466722,0.001602828,0.00447166,0.008933086,0.001739792,0.002303105,0.0250151],"category_scores_gemma":[0.01993895,0.0005856731,0.001021618,0.001520497,0.003299128,0.008651786,0.01475871,0.001799486,0.007722202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056748,"about_ca_system_score_gemma":0.003263912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008371713,"about_ca_topic_score_gemma":0.001139238,"domain_scores_codex":[0.9838144,0.007556529,0.001036697,0.002895762,0.003245367,0.001451108],"domain_scores_gemma":[0.977734,0.006286072,0.002291717,0.006860238,0.003878323,0.002949581],"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":[0.0007296943,0.000588834,0.02131079,0.002022704,0.0003985991,0.002364072,0.1223916,0.003084428,0.01674269,0.3723372,0.03273656,0.4252928],"study_design_scores_gemma":[0.000309938,0.001119954,0.00945654,0.0008306067,0.0002395173,0.003711085,0.03210048,0.01328886,0.01293543,0.2697321,0.6559172,0.0003582916],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.122104,0.001109569,0.6046221,0.003325698,0.001153248,0.001452379,0.0006209917,0.002707557,0.2629046],"genre_scores_gemma":[0.778056,0.0006005928,0.1259488,0.0005938567,0.0002160289,0.002360725,0.0006940836,0.0003502635,0.09117978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0250151,"threshold_uncertainty_score":0.08368379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169768300055854,"score_gpt":0.3628556439958887,"score_spread":0.3511579609953301,"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."}}