{"id":"W2207763101","doi":"","title":"Social Annotation: Emergent Text Signals through Self-Organization","year":2010,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Athabasca University","funders":"","keywords":"Annotation; Computer science; Natural language processing; Artificial intelligence; Data 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":[],"consensus_categories":[],"category_scores_codex":[0.0001415413,0.0002317756,0.0002607209,0.0006349365,0.0003118347,0.00009099776,0.000794282,0.0002191976,0.0004742205],"category_scores_gemma":[0.0004006001,0.0002296624,0.00003463492,0.002274695,0.0002779769,0.0004788136,0.0001802797,0.0005501242,0.00009976756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000449269,"about_ca_system_score_gemma":0.0003720574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005101901,"about_ca_topic_score_gemma":0.0001063513,"domain_scores_codex":[0.9983528,0.00003828933,0.0003418736,0.0005870073,0.0003663652,0.0003136706],"domain_scores_gemma":[0.9983328,0.0002520246,0.0002187203,0.0004372638,0.0006636847,0.0000954788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001123279,0.0001592811,0.002275025,0.000005294887,0.00002106497,0.000001759769,0.0009998129,3.215114e-7,0.005603586,0.9819014,0.003468432,0.005562889],"study_design_scores_gemma":[0.0001567895,0.00003755033,0.004159193,0.00001095393,0.00001629541,0.00001160238,0.00002797521,0.0002635506,0.01797676,0.9752721,0.001807094,0.0002601072],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01957398,0.0001188884,0.05203931,0.921374,0.00190109,0.0003947206,0.000006923769,0.001366481,0.003224577],"genre_scores_gemma":[0.9436417,0.00009932686,0.05480113,0.000467865,0.0005089627,0.0001236822,0.00004870768,0.00001659038,0.0002920261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9240677,"threshold_uncertainty_score":0.9365362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02092228794365663,"score_gpt":0.297689684256923,"score_spread":0.2767673963132664,"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."}}