{"id":"W2476872298","doi":"10.5948/upo9781614445159","title":"More Fallacies, Flaws, and Flimflam","year":2013,"lang":"en","type":"book","venue":"MAA spectrum","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Forensic engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002436095,0.0003452411,0.0003392965,0.0001606451,0.0002880178,0.0006385531,0.000933453,0.0002952225,0.00007713465],"category_scores_gemma":[0.00002657048,0.0003230519,0.00009763893,0.00008050576,0.0001153438,0.0001673462,0.0005277162,0.001036409,0.0003354845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001207992,"about_ca_system_score_gemma":0.0001395958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001732695,"about_ca_topic_score_gemma":0.00002372753,"domain_scores_codex":[0.9982419,0.00005870307,0.0002180225,0.0006775848,0.0003293849,0.0004743747],"domain_scores_gemma":[0.998831,0.00007369174,0.00015338,0.000772003,0.0000197553,0.0001502093],"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":[0.000001934095,0.00002096299,0.0001544275,0.0001112215,0.00006449481,0.00008304747,0.001932332,0.000009561211,0.000003617765,0.1436147,0.09775851,0.7562452],"study_design_scores_gemma":[0.0001190873,0.00008333447,0.0004666316,0.00009324169,0.00001262481,0.00006158582,0.00001318841,0.0008244715,0.000004674775,0.00457781,0.9933503,0.0003931029],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008598065,0.01115862,0.1750733,0.01872231,0.003106396,0.001218843,0.00001071443,0.00439274,0.7854573],"genre_scores_gemma":[0.00182963,0.00007559054,0.02344679,0.0002128719,0.0005018987,0.00001578408,0.00001962668,0.00005264986,0.9738452],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8955917,"threshold_uncertainty_score":0.9999222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007276872442842972,"score_gpt":0.2056349736428849,"score_spread":0.198358101200042,"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."}}