{"id":"W2795628086","doi":"10.1371/journal.pcbi.1006023","title":"Ten quick tips for teaching programming","year":2018,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Systems, Applications & Products in Data Processing (Canada)","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0005929859,0.0001336932,0.0001612244,0.0001239992,0.0005502191,0.0001221922,0.0005613227,0.00008364442,0.00000493269],"category_scores_gemma":[0.0003524162,0.000120392,0.00007048283,0.0001276668,0.0001526953,0.0001556033,0.0001570215,0.0002378586,0.00007346144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003405814,"about_ca_system_score_gemma":0.00006804493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001900383,"about_ca_topic_score_gemma":0.000002803778,"domain_scores_codex":[0.9986451,0.0001854032,0.0002260653,0.0004441939,0.0001191626,0.0003800935],"domain_scores_gemma":[0.9988686,0.0005887845,0.0001173746,0.0001966946,0.0001535965,0.00007489172],"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":[0.00001068726,0.0001116047,0.002341629,0.000014923,0.00005232868,0.000001003418,0.001832736,0.0002804029,0.0001494558,0.2292125,0.0004956023,0.7654971],"study_design_scores_gemma":[0.0008350826,0.001415223,0.001888838,0.00005028534,0.00001919348,0.00006218816,0.0001075091,0.3267072,0.0001178803,0.03214103,0.6361642,0.0004913195],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01974306,0.0000493405,0.9770043,0.001803996,0.0003405591,0.0002413315,0.000002395562,0.0005312917,0.0002837092],"genre_scores_gemma":[0.4929111,1.199861e-7,0.5063742,0.0002753058,0.00030019,0.00003499604,0.00002876124,0.000008019269,0.00006730465],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7650058,"threshold_uncertainty_score":0.4909443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03057297808916181,"score_gpt":0.3086313905068767,"score_spread":0.2780584124177148,"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."}}