{"id":"W2793924535","doi":"10.22215/etd/2017-12232","title":"NotesKB: Web-Based Semantic Annotation Tool for Online Multimedia Learning Content","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Saudi Arabian Cultural Bureau","keywords":"Usability; Computer science; USable; World Wide Web; Multimedia; Semantic Web; Annotation; Web usability; Usability lab; Key (lock); Usability engineering; Human–computer interaction; Artificial intelligence","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":[0.0006370033,0.0002076117,0.0003372236,0.0002316411,0.001100082,0.0001233632,0.0007573434,0.0006499212,0.0004940343],"category_scores_gemma":[0.005276977,0.000209264,0.0001685387,0.00009352054,0.0001831809,0.000122189,0.00001616705,0.0004595332,0.00008021609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000101116,"about_ca_system_score_gemma":0.0006459362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00201135,"about_ca_topic_score_gemma":0.05207195,"domain_scores_codex":[0.9984754,0.0001683491,0.0003780237,0.0003209901,0.0003324613,0.0003247876],"domain_scores_gemma":[0.997411,0.0007956997,0.0005840057,0.0005133467,0.0006191068,0.00007680213],"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":[0.0002238451,0.0004628937,0.002926762,0.0002373321,0.0001150253,0.000002703749,0.007916885,0.0000285777,0.00657638,0.008806511,0.002811173,0.9698919],"study_design_scores_gemma":[0.004785707,0.0002058971,0.01424141,0.000422179,0.0002336031,3.560811e-7,0.01724837,0.09778135,0.002492202,0.0006681893,0.8607736,0.001147185],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7275057,0.001648943,0.009892265,0.0335239,0.01096234,0.0136904,0.0003613486,0.005262122,0.1971529],"genre_scores_gemma":[0.8215345,0.0004977775,0.03232414,0.0002857377,0.0003626183,0.0004840341,0.009850977,0.00007056133,0.1345896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9687448,"threshold_uncertainty_score":0.9652253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0809249811761428,"score_gpt":0.38937091310372,"score_spread":0.3084459319275772,"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."}}