{"id":"W3133543312","doi":"10.1145/3408877.3432467","title":"Using a Computer to Score Parsons Problems Answered on Paper","year":2021,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Code (set theory); Computer science; ENCODE; Bubble; Software; Mathematics education; Programming language; Psychology","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":[0.003967903,0.002154541,0.00134553,0.005003566,0.0006441109,0.002192376,0.0009971196,0.001593952,0.04813399],"category_scores_gemma":[0.02897723,0.0004828967,0.0008685498,0.002964541,0.0005639311,0.001940649,0.001667039,0.001515176,0.01720716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005482887,"about_ca_system_score_gemma":0.0006706936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008574724,"about_ca_topic_score_gemma":0.001236732,"domain_scores_codex":[0.9950448,0.001400904,0.001011604,0.001070019,0.001123236,0.0003494613],"domain_scores_gemma":[0.9632597,0.02237347,0.002291649,0.003193976,0.007673106,0.001208012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004626397,0.003789868,0.0397162,0.001107076,0.0001403131,0.0007513015,0.002803338,0.002380939,0.05431863,0.004857894,0.07163614,0.8138719],"study_design_scores_gemma":[0.003066986,0.01611218,0.3295229,0.0007978554,0.0003822246,0.002541004,0.007633027,0.167465,0.1923099,0.01990194,0.2591787,0.001088261],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6842697,0.0002999382,0.1766081,0.000982938,0.001592268,0.0114582,0.01114057,0.03501439,0.07863396],"genre_scores_gemma":[0.5526884,0.0004835078,0.3566484,0.0005713851,0.0003804391,0.01361568,0.00984838,0.002413929,0.06334989],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04813399,"threshold_uncertainty_score":0.1610243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0791555675604111,"score_gpt":0.2949347249809983,"score_spread":0.2157791574205872,"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."}}