{"id":"W2248017594","doi":"","title":"Apply Formal Concept Analysis to Teaching Material Extraction","year":2009,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Computer science; Formal concept analysis; Formal methods; Programming language; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00300658,0.001205095,0.0008945646,0.008693483,0.001290539,0.003554331,0.001690123,0.0008494435,0.007255692],"category_scores_gemma":[0.01592358,0.0006567989,0.002472695,0.004075418,0.001125886,0.003190104,0.002220617,0.00143507,0.002918924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647283,"about_ca_system_score_gemma":0.004535955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005872959,"about_ca_topic_score_gemma":0.004912363,"domain_scores_codex":[0.9960842,0.0009026025,0.0006046235,0.0006465566,0.00151961,0.0002422559],"domain_scores_gemma":[0.9909222,0.005745182,0.0004475711,0.0008130393,0.001920093,0.000152018],"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":[0.0001535259,0.0003906473,0.003600688,0.001634864,0.0001686776,0.0005926092,0.001493396,0.01152775,0.01906177,0.04637705,0.0109938,0.9040052],"study_design_scores_gemma":[0.0002883396,0.0003721566,0.006765206,0.001142828,0.0004697213,0.001568132,0.003395889,0.471384,0.08874205,0.2812428,0.144405,0.0002238865],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008379915,0.0002601013,0.982419,0.0004026553,0.00008112816,0.0007206326,0.001418077,0.004218418,0.002100048],"genre_scores_gemma":[0.06187995,0.000237578,0.9320776,0.00008269096,0.00003560804,0.0005730838,0.003525216,0.0002156727,0.00137252],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008693483,"threshold_uncertainty_score":0.02427274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04276498972473079,"score_gpt":0.3271062759638571,"score_spread":0.2843412862391262,"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."}}