{"id":"W2048974007","doi":"10.1287/ited.7.3.223","title":"Solving the U2 Brainteaser with Integer and Dynamic Programming","year":2007,"lang":"en","type":"article","venue":"INFORMS Transactions on Education","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Integer programming; Computer science; Integer (computer science); Branch and price; Dynamic programming; Mathematical optimization; Programming language; Mathematics; 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":[0.0017113,0.001507866,0.001615261,0.0009810475,0.000891263,0.002595003,0.001686125,0.004173906,0.01699004],"category_scores_gemma":[0.00647498,0.001261716,0.001009083,0.0008495059,0.001381796,0.001915866,0.003059915,0.002470679,0.0009530949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001327395,"about_ca_system_score_gemma":0.002489756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01348141,"about_ca_topic_score_gemma":0.008038745,"domain_scores_codex":[0.9992713,0.00025149,0.00002539898,0.0001609388,0.0001274696,0.0001634362],"domain_scores_gemma":[0.9975269,0.002000739,0.0001091045,0.00006142075,0.0001928733,0.0001089152],"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":[0.00009327933,0.00008237064,0.0003642104,0.000127571,0.00003289022,0.0001581345,0.00007210791,0.9375865,0.000367658,0.03421648,0.004310687,0.02258812],"study_design_scores_gemma":[0.0000222735,0.00001843401,0.00002946921,0.000009953208,0.000005318675,0.00001536831,0.00002942063,0.9895085,0.0002099219,0.009263632,0.0008820203,0.000005694721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0160036,0.0002918557,0.9611734,0.001397296,0.0002599153,0.0001084192,0.000207367,0.000285993,0.02027218],"genre_scores_gemma":[0.4285037,0.0003510139,0.5350949,0.0008131145,0.0003961555,0.0009191309,0.0003995545,0.0005865232,0.03293584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01699004,"threshold_uncertainty_score":0.05683732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053777869068455,"score_gpt":0.2729581260888628,"score_spread":0.2624203473981783,"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."}}