{"id":"W4319978000","doi":"10.1109/cipae55637.2022.00005","title":"Message from the General Chair","year":2022,"lang":"en","type":"article","venue":"2022 International Conference on Computers, Information Processing and Advanced Education (CIPAE)","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.0003920947,0.0001608582,0.0001126754,0.0001476227,0.001022519,0.000896783,0.000991942,0.00002812578,0.0001338949],"category_scores_gemma":[0.00005665253,0.0001412603,0.00004220385,0.0002333727,0.00004258432,0.001342163,0.0003740354,0.0004826486,0.00001708975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001281992,"about_ca_system_score_gemma":0.0003373193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008580245,"about_ca_topic_score_gemma":0.000002377659,"domain_scores_codex":[0.9985296,0.000129216,0.0003314312,0.000282218,0.0005386852,0.0001889255],"domain_scores_gemma":[0.9990419,0.00009426769,0.0003344417,0.0002659647,0.0001904415,0.00007294108],"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":[0.00001373736,0.00005557599,0.0001592655,0.000005670453,0.00001129627,3.405681e-7,0.007087642,0.005238047,0.00001916894,0.06609934,0.002553227,0.9187567],"study_design_scores_gemma":[0.0004799022,0.0001062308,0.002199069,0.00009686628,0.00000586548,0.00002434344,0.004227935,0.3493997,0.00003007479,0.002865947,0.6402458,0.0003182628],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06034271,0.000489638,0.8814117,0.03678943,0.007926164,0.0004897883,0.00006592042,0.0007473012,0.01173732],"genre_scores_gemma":[0.954521,0.00003372168,0.03686825,0.006703947,0.0002297777,0.000160265,0.0003230041,0.000009110596,0.001150943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9184384,"threshold_uncertainty_score":0.8647699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0186002714855671,"score_gpt":0.2910821621907105,"score_spread":0.2724818907051434,"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."}}