{"id":"W3158546879","doi":"","title":"Social Annotating in the Online Margins: Re(designing) an Annotation Tool drawing on Unintended Ways University Students and Faculty Chose to Use It.","year":2011,"lang":"en","type":"article","venue":"Computer Supported Collaborative Learning","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; Simon Fraser University; Bishop's University","funders":"","keywords":"Chose; Annotation; Computer science; Multimedia; Unintended consequences; Mathematics education; World Wide Web; Human–computer interaction; Artificial intelligence; Psychology; Political science","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":[0.03586231,0.001061954,0.0003999052,0.001787975,0.006709534,0.009199051,0.002464164,0.002965801,0.005108599],"category_scores_gemma":[0.1053875,0.0006150473,0.0006452282,0.001322163,0.008052137,0.01716994,0.009038631,0.003509216,0.00250801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713719,"about_ca_system_score_gemma":0.003879977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001880214,"about_ca_topic_score_gemma":0.004545005,"domain_scores_codex":[0.9629793,0.02881807,0.001024838,0.002725256,0.003662042,0.0007906281],"domain_scores_gemma":[0.8889599,0.06821492,0.004059891,0.02290507,0.01327588,0.00258431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003552197,0.0004145772,0.009930525,0.0005900917,0.00005053557,0.0007610749,0.5988597,0.001382049,0.03763106,0.06403437,0.02108555,0.2649052],"study_design_scores_gemma":[0.00007445879,0.0004477051,0.006441788,0.0009887903,0.0001942556,0.001379497,0.2586788,0.02819179,0.06561265,0.1238085,0.5137263,0.0004555338],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.225922,0.0002174289,0.6899298,0.007387437,0.001099463,0.0007417903,0.0002354016,0.00446547,0.07000117],"genre_scores_gemma":[0.6677065,0.0001681458,0.2975318,0.001798616,0.0001890683,0.0007220168,0.0003465537,0.002639635,0.02889752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03586231,"threshold_uncertainty_score":0.1896603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09364478054880009,"score_gpt":0.3340824787409998,"score_spread":0.2404376981921997,"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."}}