{"id":"W4386225413","doi":"10.5206/mt.v3i2.15664","title":"Analysis of algorithms as a teaching experience","year":2023,"lang":"en","type":"article","venue":"Maple Transactions","topic":"Educational Innovations and Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm; Simple (philosophy); Task (project management); Computation; Compromise; Symbolic computation; Series (stratigraphy); Theoretical computer science; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004260805,0.0009687191,0.0007139362,0.001382701,0.001260805,0.007745573,0.002080821,0.001604198,0.01454596],"category_scores_gemma":[0.01336528,0.0003664414,0.0005861918,0.00121776,0.002826276,0.004862449,0.004255029,0.002622064,0.003957273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002412203,"about_ca_system_score_gemma":0.001425398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002181046,"about_ca_topic_score_gemma":0.0002992658,"domain_scores_codex":[0.9942359,0.002960553,0.0001634736,0.0005971454,0.001678982,0.0003639303],"domain_scores_gemma":[0.9913073,0.005303566,0.0002523758,0.0009160432,0.001118391,0.001102233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002241957,0.0008515848,0.003586772,0.0007626939,0.00005891397,0.0006874593,0.0217107,0.01145366,0.01512446,0.4732002,0.05347694,0.4188623],"study_design_scores_gemma":[0.00006318915,0.000707678,0.003204284,0.000571157,0.00004263377,0.002321355,0.007503523,0.03605849,0.01522546,0.4229172,0.5112942,0.00009087505],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1477456,0.005284646,0.5500003,0.01480949,0.0009461367,0.000165396,0.0001744423,0.002833203,0.2780408],"genre_scores_gemma":[0.6763873,0.004170882,0.2412803,0.001737378,0.0006584607,0.000203031,0.0003289562,0.001129083,0.07410461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01454596,"threshold_uncertainty_score":0.04866105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02937923119006708,"score_gpt":0.3279621759285934,"score_spread":0.2985829447385264,"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."}}