{"id":"W2030021228","doi":"10.2316/journal.208.2004.4.208-0825","title":"Links for Learning: Linking for an Adaptive Learning Environment","year":2004,"lang":"en","type":"article","venue":"Advanced Technology for Learning","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Plural; Computer science; Multimedia; Adaptive learning; World Wide Web; Learning environment; Human–computer interaction; Mathematics education; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003634327,0.001277309,0.0007975948,0.002029937,0.001650831,0.005577079,0.003188187,0.003249012,0.025256],"category_scores_gemma":[0.01174902,0.001204714,0.001137316,0.001710067,0.001916402,0.009636983,0.008279573,0.002894977,0.01732365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006883187,"about_ca_system_score_gemma":0.001079824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009023207,"about_ca_topic_score_gemma":0.0008841437,"domain_scores_codex":[0.9972239,0.0006497341,0.0002927869,0.0006035598,0.001010378,0.0002197801],"domain_scores_gemma":[0.9959875,0.001603389,0.0002183782,0.001283675,0.0004191496,0.0004880068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006882731,0.0003872807,0.001711546,0.0008952916,0.0001489284,0.0009620877,0.002335588,0.01007807,0.01988534,0.1412905,0.1114128,0.7102043],"study_design_scores_gemma":[0.0002265875,0.000220772,0.0006827379,0.0003322992,0.000113895,0.001059217,0.000225031,0.07209214,0.02863814,0.1183082,0.7778838,0.0002171211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002883022,0.0003221371,0.8646415,0.0004763812,0.0002316934,0.0003694067,0.0005256062,0.1169419,0.01360835],"genre_scores_gemma":[0.04403824,0.0007999421,0.8930654,0.0007501407,0.0003365228,0.00110659,0.003505637,0.02073665,0.03566084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.025256,"threshold_uncertainty_score":0.08448976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01927460255695884,"score_gpt":0.2808828457898946,"score_spread":0.2616082432329357,"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."}}