{"id":"W3085106999","doi":"10.19173/irrodl.v21i3.4775","title":"Revisiting Textbook Adaption Through Open Educational Resources: An Inquiry into Students’ Emotions","year":2020,"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":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Social Science Fund of China","keywords":"Psychology; Open educational resources; Mediation; Mathematics education; Educational technology; Qualitative research; Open education; Pedagogy; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.006193203,0.0001241712,0.0002666249,0.00009208578,0.0005527851,0.00169416,0.005852419,0.00003824636,0.000416259],"category_scores_gemma":[0.003203909,0.0000998688,0.00004237115,0.0009491146,0.0001564064,0.002007394,0.004336439,0.0008406878,0.00007089036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001404509,"about_ca_system_score_gemma":0.0003806014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006651552,"about_ca_topic_score_gemma":0.00001231805,"domain_scores_codex":[0.9962869,0.001433468,0.0005449444,0.000485971,0.0009978466,0.0002508163],"domain_scores_gemma":[0.997986,0.0007206341,0.000265283,0.0003247483,0.0005449656,0.0001583444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002294308,0.0009814922,0.1105274,0.002800334,0.0001960899,0.0000198406,0.05467318,0.001658958,0.0004641992,0.6969312,0.01686113,0.1146567],"study_design_scores_gemma":[0.002653113,0.0007492542,0.1310764,0.02541153,0.0000324427,0.00006543744,0.1081204,0.03271879,0.00006113494,0.02107423,0.6772126,0.0008246541],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1782693,0.0174062,0.03623153,0.6684911,0.0007322,0.005708206,0.00002932331,0.000133806,0.09299832],"genre_scores_gemma":[0.9832433,0.008611175,0.004650761,0.002239573,0.0003101662,0.0001419745,0.0002418066,0.00001379144,0.0005473983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.804974,"threshold_uncertainty_score":0.9995264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1918143143020229,"score_gpt":0.4972633984676372,"score_spread":0.3054490841656142,"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."}}