{"id":"W2625159885","doi":"10.4103/2589-0603.191718","title":"Protecting the content through learning object metadata","year":2016,"lang":"en","type":"article","venue":"Imam Journal of Applied Sciences","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Metadata; Computer science; Learning object; World Wide Web; Annotation; Interoperability; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009211411,0.0007033827,0.0009061162,0.005383633,0.003398169,0.01183922,0.003308041,0.00327612,0.006573093],"category_scores_gemma":[0.02539299,0.0006088321,0.0008124258,0.005434575,0.003624879,0.01995121,0.009768897,0.003798737,0.009461126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002598799,"about_ca_system_score_gemma":0.007257334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005052646,"about_ca_topic_score_gemma":0.002469117,"domain_scores_codex":[0.9895376,0.002801968,0.001699573,0.000940012,0.004233503,0.0007872906],"domain_scores_gemma":[0.9630298,0.006664543,0.002419957,0.02107054,0.006002398,0.0008127482],"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":[0.0002143519,0.0002665254,0.005366932,0.001205495,0.00006436544,0.00103226,0.005484504,0.002308818,0.01982528,0.3977218,0.05094345,0.5155663],"study_design_scores_gemma":[0.00002940306,0.00007040288,0.001882842,0.0009188601,0.00007883809,0.0006289991,0.001218574,0.004592824,0.02951916,0.1223189,0.838624,0.0001172527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02515762,0.004446961,0.749474,0.01280537,0.001544625,0.001416996,0.005035968,0.01614619,0.1839724],"genre_scores_gemma":[0.3206923,0.01158141,0.469142,0.007997062,0.001635275,0.002083596,0.01865195,0.005441592,0.1627748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01183922,"threshold_uncertainty_score":0.04871517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08207615433444931,"score_gpt":0.3084523741225498,"score_spread":0.2263762197881005,"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."}}