{"id":"W2561291595","doi":"10.19173/irrodl.v17i6.2620","title":"Evaluation of Virtual Objects: Contributions for the Learning Process","year":2016,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Business and Management Studies","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Learning object; Distance education; Educational resources; ICTS; Process (computing); Profit (economics); Object (grammar); Virtual learning environment; Computer science; Higher education; Sociology; Information and Communications Technology; Multimedia; Pedagogy; World Wide Web; Artificial intelligence; Economic growth; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06708261,0.000697311,0.001036707,0.009002012,0.002187894,0.01695466,0.001735511,0.001591545,0.006807822],"category_scores_gemma":[0.1594733,0.0002787508,0.0008947785,0.004802946,0.003892437,0.01002239,0.006421427,0.0007587452,0.001211045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005899027,"about_ca_system_score_gemma":0.006866632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001642528,"about_ca_topic_score_gemma":0.001496694,"domain_scores_codex":[0.8830538,0.087502,0.004472832,0.002689432,0.02093491,0.001347066],"domain_scores_gemma":[0.7968735,0.1464062,0.01371604,0.009828997,0.03009681,0.003078521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003292946,0.0004404037,0.02890715,0.002138101,0.0001333392,0.0001826746,0.02258584,0.001536715,0.0008681742,0.05333994,0.004063116,0.8854753],"study_design_scores_gemma":[0.0003331927,0.00519501,0.1897385,0.01993893,0.001059482,0.00157268,0.1823983,0.03665513,0.01471312,0.2280639,0.3197539,0.0005778093],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4558091,0.02773106,0.2131936,0.01146243,0.001137159,0.00543461,0.000668816,0.0004843709,0.2840788],"genre_scores_gemma":[0.9104149,0.003671267,0.07514967,0.0003852781,0.0001687367,0.001242769,0.0002552087,0.0001084113,0.008603729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06708261,"threshold_uncertainty_score":0.354771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3716460921695055,"score_gpt":0.588216991181225,"score_spread":0.2165708990117194,"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."}}