{"id":"W4205778878","doi":"10.18357/otessac.2021.1.1.39","title":"Evolving Access to Educational Materials","year":2021,"lang":"en","type":"article","venue":"The Open/Technology in Education Society and Scholarship Association Conference","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Variety (cybernetics); Multitude; Selection (genetic algorithm); Open educational resources; Educational resources; Computer science; Educational technology; Multimedia; Knowledge management; World Wide Web; Sociology; Psychology; Mathematics education; Pedagogy; Political science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002045733,0.000146657,0.0002123593,0.0001205337,0.000620843,0.003240695,0.002109201,0.0002393096,0.0004215353],"category_scores_gemma":[0.002215054,0.0001418369,0.00003516555,0.001633463,0.00004741405,0.002316697,0.001224498,0.0005692208,0.0001033337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004221266,"about_ca_system_score_gemma":0.002192857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006308506,"about_ca_topic_score_gemma":0.00007408556,"domain_scores_codex":[0.9981623,0.0003885978,0.0003573617,0.0005130189,0.0002648966,0.0003138683],"domain_scores_gemma":[0.9979147,0.0003593182,0.0002764878,0.0004902158,0.0008677513,0.00009157981],"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":[0.000003345602,0.0004035409,0.1959898,0.00001786144,0.00004175174,3.808087e-7,0.006947507,0.00001241277,0.0058475,0.7675388,0.01278574,0.01041128],"study_design_scores_gemma":[0.0005743087,0.00004548443,0.6981221,0.0002207377,0.00002207899,0.00003065581,0.01838706,0.0002395504,0.01536886,0.2456434,0.02074562,0.0006001509],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5022363,0.0003239622,0.001309013,0.4857061,0.001589002,0.0005606611,0.000003735916,0.00009483356,0.008176371],"genre_scores_gemma":[0.9787792,0.0002681768,0.01012073,0.005997202,0.00008142678,0.0002753074,0.00002019276,0.000008890373,0.004448866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5218955,"threshold_uncertainty_score":0.997794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04122138125179888,"score_gpt":0.3520654047863354,"score_spread":0.3108440235345365,"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."}}