{"id":"W2625626410","doi":"10.19173/irrodl.v18i4.3003","title":"Exploring Open Educational Resources for College Algebra","year":2017,"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":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"William and Flora Hewlett Foundation","keywords":"Open educational resources; Mathematics education; Class (philosophy); Educational resources; Open education; Computer science; Class size; Pedagogy; Psychology; Library science; Artificial intelligence; World Wide Web","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":[0.007760756,0.00008946041,0.0002201068,0.0001100021,0.001117042,0.001948633,0.007342793,0.0000216329,0.0001351984],"category_scores_gemma":[0.006317145,0.00006827666,0.00004170301,0.0002512499,0.0001563216,0.001889975,0.004222488,0.0004392496,0.00001949329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008913611,"about_ca_system_score_gemma":0.0003738626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006876219,"about_ca_topic_score_gemma":0.00002889128,"domain_scores_codex":[0.9981887,0.0003790254,0.0003391351,0.0003278443,0.0005180447,0.0002472168],"domain_scores_gemma":[0.9973489,0.001289167,0.0002794244,0.0004778159,0.0005159776,0.00008868201],"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":[0.0000831619,0.0001777543,0.01884682,0.0006632715,0.00005069898,0.000003195989,0.0008229457,0.0000554757,0.00004230185,0.9230733,0.01313192,0.04304916],"study_design_scores_gemma":[0.001509918,0.0001804558,0.1095335,0.0105125,0.00000828035,0.00002400699,0.008620588,0.005702341,0.0001250615,0.02129607,0.8422049,0.0002823609],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1260033,0.009838809,0.00307455,0.577124,0.001473365,0.006327112,0.0001317221,0.00004402023,0.2759831],"genre_scores_gemma":[0.9826126,0.01072095,0.002576777,0.0002941637,0.0001286781,0.0006946025,0.00006212846,0.000009938921,0.002900161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9017772,"threshold_uncertainty_score":0.9990875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2736753790447752,"score_gpt":0.4813841763639588,"score_spread":0.2077087973191836,"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."}}