{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008181566,0.0002946746,0.0003118822,0.0003864421,0.0006789469,0.0005744248,0.0009369531,0.0001048477,0.000005235951],"category_scores_gemma":[0.0001955505,0.0002673795,0.00004689852,0.002003399,0.00008756387,0.001185533,0.0003521308,0.0007417134,0.000009929055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001015973,"about_ca_system_score_gemma":0.0001418875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008638988,"about_ca_topic_score_gemma":0.0001025221,"domain_scores_codex":[0.9970748,0.000924276,0.0003540285,0.0007076954,0.0005056661,0.0004335611],"domain_scores_gemma":[0.9986138,0.0002320757,0.0002624057,0.0003061988,0.0004637562,0.0001217525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004232422,0.001709654,0.2599367,0.00004939356,0.0002488185,0.001425803,0.6250404,0.01789017,0.0007002769,0.02026596,0.002650769,0.0696588],"study_design_scores_gemma":[0.002080402,0.001914724,0.6173773,0.0001974198,0.00003991485,0.00001144326,0.03412764,0.3384371,0.0001026075,0.000389395,0.004536713,0.0007852962],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8275377,0.000002862255,0.1695882,0.002110424,0.00009513456,0.0003398898,0.00001524596,0.0001729447,0.0001375765],"genre_scores_gemma":[0.9133759,0.000003891043,0.08528374,0.0009708735,0.00009552504,0.000003246171,0.00008993423,0.00001879185,0.0001580565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5909128,"threshold_uncertainty_score":0.9999778,"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."}}