{"id":"W4391561366","doi":"10.18260/1-2--41213","title":"Work-in-Progress: Problems in learning related to mathematical and graphical representations of signals","year":2024,"lang":"en","type":"article","venue":"","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Set (abstract data type); Domain (mathematical analysis); SIGNAL (programming language); Variable (mathematics); Electrical network; Human–computer interaction; Artificial intelligence; Electrical engineering; Engineering; Mathematics","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":[0.01311746,0.00161532,0.0009084659,0.002046672,0.001615074,0.00561439,0.003333487,0.003402097,0.005406705],"category_scores_gemma":[0.1041449,0.000568931,0.0008466194,0.001873502,0.006009811,0.01205,0.004889668,0.003001048,0.001722654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642288,"about_ca_system_score_gemma":0.001295844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008850195,"about_ca_topic_score_gemma":0.0007032506,"domain_scores_codex":[0.9776453,0.01001686,0.001529992,0.003098369,0.006987041,0.0007224681],"domain_scores_gemma":[0.9047161,0.06661219,0.01165869,0.007953379,0.006776003,0.00228367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006644604,0.001404991,0.05622759,0.001758817,0.000193894,0.002754385,0.06129767,0.03015098,0.008524135,0.09285907,0.01862403,0.72554],"study_design_scores_gemma":[0.0002332959,0.003166847,0.0587217,0.002227024,0.0002183185,0.007300678,0.07553263,0.1514902,0.02333815,0.489865,0.1872713,0.0006349055],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6076272,0.003646042,0.3204185,0.01288851,0.0005322826,0.0004986779,0.0003211612,0.001992498,0.05207512],"genre_scores_gemma":[0.9164292,0.001354155,0.06889313,0.0006833288,0.0001584934,0.0003301946,0.0003400838,0.000359126,0.01145229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01311746,"threshold_uncertainty_score":0.06937259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007435607968502484,"score_gpt":0.2629732633218484,"score_spread":0.2555376553533459,"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."}}