{"id":"W3108917787","doi":"10.19173/irrodl.v21i4.4756","title":"Writing and Implementing an Open Textbook in World Regional Geography: A Case Study","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":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Open educational resources; Open education; Portfolio; Distance education; Meaning (existential); Open learning; Mathematics education; Open university; Process (computing); Educational technology; Computer science; Pedagogy; Sociology; Teaching method; Psychology; Business; Cooperative learning","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"],"consensus_categories":[],"category_scores_codex":[0.009181103,0.00009932767,0.0002451428,0.0002018857,0.0003428424,0.00117759,0.00219601,0.00001510491,0.0001046303],"category_scores_gemma":[0.0008593996,0.00008016026,0.00001990838,0.001066536,0.00008127554,0.001062126,0.004047941,0.0007531929,0.00000370156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004457241,"about_ca_system_score_gemma":0.0001671268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003872369,"about_ca_topic_score_gemma":0.0005833962,"domain_scores_codex":[0.997123,0.001177572,0.0004858423,0.0004244817,0.0005033843,0.0002857033],"domain_scores_gemma":[0.9986409,0.0006446969,0.0001658435,0.0001898488,0.000223518,0.0001351735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007342263,0.0004153759,0.8554542,0.0005295,0.00005285803,0.0005436902,0.005622921,0.0001157718,0.00003994641,0.03412399,0.0009036996,0.1021246],"study_design_scores_gemma":[0.007718925,0.001876085,0.2623942,0.016419,0.00003193306,0.001158721,0.4489687,0.09877785,0.00003235819,0.003247242,0.1583463,0.001028666],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9238056,0.005200653,0.0005000338,0.05100844,0.00005298548,0.003135667,0.00001006292,0.00002996937,0.01625659],"genre_scores_gemma":[0.9968571,0.001535007,0.0007645924,0.0006097308,0.00003166997,0.00009527642,0.0000295575,0.000006405868,0.00007067193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.59306,"threshold_uncertainty_score":0.9998593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1799424250560375,"score_gpt":0.488594971088699,"score_spread":0.3086525460326616,"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."}}