{"id":"W4403070696","doi":"10.54337/nlc.v9.9049","title":"Symposium 3: Learning Design Family Tree to Back Reuse and Cooperation","year":2014,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Networked Learning","topic":"Design Education and Practice","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reuse; Tree (set theory); Family tree; Computer science; Psychology; Engineering; Mathematics; Combinatorics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006397191,0.0001347484,0.000124279,0.00009020566,0.0001155332,0.0002010215,0.0004268109,0.0000574141,0.00008560991],"category_scores_gemma":[0.0007411195,0.0001167462,0.00002740995,0.0001648178,0.00002563525,0.0002439157,0.00008362867,0.0004083042,0.00005686962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004618602,"about_ca_system_score_gemma":0.00001954583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005502684,"about_ca_topic_score_gemma":9.255822e-7,"domain_scores_codex":[0.9991813,0.00003939834,0.0002098799,0.0001812237,0.0002367718,0.00015139],"domain_scores_gemma":[0.9992442,0.0001969118,0.0001109861,0.00007442703,0.0003056456,0.00006789668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002230555,0.00003905838,0.00332438,0.00005724789,0.0000985491,1.433512e-7,0.002680779,0.6261352,0.2879531,0.03685845,0.0170397,0.02559026],"study_design_scores_gemma":[0.0003417984,0.0002154723,0.00228662,0.0003002931,0.00002186809,0.000006704461,0.0005252497,0.9069336,0.006917582,0.0004910608,0.08169895,0.0002607892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5371498,0.00005508159,0.03065065,0.01027634,0.001697622,0.0005799485,9.046522e-7,0.0003350846,0.4192546],"genre_scores_gemma":[0.9928923,0.0001022608,0.002840824,0.0002677735,0.0001999653,0.00001786051,0.000001972483,0.00002479199,0.003652233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4557425,"threshold_uncertainty_score":0.4760773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03282534210944331,"score_gpt":0.2467215877528575,"score_spread":0.2138962456434141,"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."}}