{"id":"W1860731162","doi":"10.19173/irrodl.v13i2.1177","title":"Conceptual framework for parametrically measuring the desirability of open educational resources using D-index","year":2012,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Malaya; International Development Research Centre","keywords":"Open educational resources; Credibility; Computer science; Reuse; Open education; Index (typography); World Wide Web; Data science; Knowledge management; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01492283,0.00009113085,0.0002513101,0.0001098852,0.0003753766,0.0004792051,0.004044378,0.00004073605,0.0001076784],"category_scores_gemma":[0.01556465,0.000058315,0.0000562881,0.0009524942,0.0003126722,0.0007407777,0.002203781,0.000629561,0.000003281319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001285972,"about_ca_system_score_gemma":0.0004107266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005354087,"about_ca_topic_score_gemma":0.000004037518,"domain_scores_codex":[0.99709,0.001165665,0.0004835421,0.0002386608,0.0007262544,0.0002958581],"domain_scores_gemma":[0.9922344,0.00629733,0.0003249371,0.0003429302,0.0007057674,0.00009460619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008031481,0.0002718414,0.2739968,0.0003591156,0.00005130848,1.815772e-7,0.001821684,0.0005571915,0.00004331561,0.7093813,0.0005257314,0.01291123],"study_design_scores_gemma":[0.002407569,0.0004478825,0.5529579,0.02244764,0.00005881875,0.00006389299,0.05558943,0.05655839,0.0007427626,0.1090078,0.1989143,0.0008036714],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5930961,0.04493855,0.2242155,0.105308,0.001163255,0.008333813,0.00006302446,0.00003777541,0.0228439],"genre_scores_gemma":[0.9889966,0.001167025,0.009369276,0.0001812207,0.00008053891,0.0001007174,0.00001553084,0.000006018782,0.00008310907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6003735,"threshold_uncertainty_score":0.9927276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2438106309315718,"score_gpt":0.4874689020857101,"score_spread":0.2436582711541383,"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."}}