{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.008166937,0.0002043933,0.0003548035,0.002539315,0.002530733,0.01445566,0.002163452,0.002194959,0.01440843],"category_scores_gemma":[0.04649947,0.0003211854,0.0004803908,0.002443985,0.003251076,0.01713236,0.008204907,0.002420744,0.002522353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002826883,"about_ca_system_score_gemma":0.002693923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001614308,"about_ca_topic_score_gemma":0.001927817,"domain_scores_codex":[0.9905207,0.003769125,0.0007025534,0.0008935598,0.003360154,0.0007539038],"domain_scores_gemma":[0.9739667,0.01557791,0.002969239,0.001746859,0.003668184,0.002071109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002165699,0.0004607113,0.08907682,0.001291071,0.00005239204,0.002777179,0.1392514,0.00059273,0.005825378,0.1455176,0.01135935,0.6035788],"study_design_scores_gemma":[0.00005094243,0.0005352309,0.1145073,0.0030969,0.0000858819,0.004900118,0.1974597,0.001646101,0.004433249,0.1235506,0.549554,0.0001800362],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7932854,0.004929993,0.01558231,0.02256386,0.0002800474,0.0001370209,0.0002880422,0.0002643974,0.1626691],"genre_scores_gemma":[0.9744437,0.002639072,0.007776669,0.001901658,0.0001743377,0.00006923929,0.0001719811,0.0001030408,0.01272029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9978365,"threshold_uncertainty_score":0.04820102,"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."}}