{"id":"W1809513418","doi":"10.19173/irrodl.v16i5.2341","title":"OER Quality and Adaptation in K-12: Comparing Teacher Evaluations of Copyright-Restricted, Open, and Open/Adapted Textbooks","year":2015,"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":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Open educational resources; Open education; Adaptation (eye); Quality (philosophy); Variety (cybernetics); Mathematics education; Computer science; Psychology; Pedagogy","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.00594194,0.0002306296,0.0005550542,0.0007454498,0.0005287814,0.002267256,0.0004993258,0.0003202299,0.001935241],"category_scores_gemma":[0.03410449,0.0002261032,0.0003302264,0.0008051379,0.00106929,0.001358268,0.0016456,0.0006397119,0.0005034042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048874,"about_ca_system_score_gemma":0.0009636029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001929283,"about_ca_topic_score_gemma":0.004916759,"domain_scores_codex":[0.9940186,0.002686183,0.0006469731,0.0005065977,0.001853898,0.0002877783],"domain_scores_gemma":[0.9707965,0.01093043,0.007481457,0.00170816,0.006910986,0.002172402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001376813,0.00228701,0.5271953,0.001202213,0.0001692424,0.0005855152,0.2116321,0.0006566305,0.01338666,0.0005772075,0.001713467,0.2392178],"study_design_scores_gemma":[0.0000881562,0.001870904,0.9077816,0.0002874123,0.00007057939,0.0003430469,0.07713457,0.0005627264,0.004507706,0.0002689596,0.007005309,0.00007910805],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969293,0.000103128,0.0003595394,0.00004003051,0.000005930312,0.00004134519,0.00001921623,0.00001249129,0.002488948],"genre_scores_gemma":[0.9974721,0.0001580001,0.0007058078,0.00003157828,0.000004309343,0.00004548521,0.00005444687,0.00001229352,0.00151601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9995007,"threshold_uncertainty_score":0.03142434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3933432143841464,"score_gpt":0.5247929460346913,"score_spread":0.1314497316505449,"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."}}