{"id":"W2255037847","doi":"10.5430/air.v5n2p1","title":"Identifying student group profiles for diagnostic feedback using snap-drift modal learning neural network","year":2015,"lang":"en","type":"article","venue":"Artificial Intelligence Research","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"London Metropolitan University","keywords":"Artificial neural network; Modal; Snap; Computer science; Set (abstract data type); Machine learning; Artificial intelligence; Group (periodic table)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003506467,0.0001596446,0.000186265,0.0002462521,0.0008163906,0.0005201272,0.001364066,0.0001234572,0.00001185816],"category_scores_gemma":[0.001345454,0.0001569053,0.00007399244,0.001104371,0.0002588166,0.0005544918,0.0007225501,0.0007086723,0.0001118371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002073138,"about_ca_system_score_gemma":0.0003278046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001108239,"about_ca_topic_score_gemma":0.00005498273,"domain_scores_codex":[0.9967914,0.0003789563,0.000424995,0.0006067007,0.0008785673,0.0009193649],"domain_scores_gemma":[0.9968111,0.001837303,0.00009510989,0.000419358,0.0006276109,0.0002094972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003153591,0.0003527926,0.01063292,0.00002982769,0.00003638719,0.00001695475,0.002115368,0.05728441,0.001224774,0.8623252,0.0008709397,0.06507888],"study_design_scores_gemma":[0.00006750663,0.0004832975,0.001211712,0.000103378,0.000008991257,0.00001559511,0.006747374,0.4627461,0.01043201,0.5171107,0.0007594755,0.0003138421],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.323209,0.0003823136,0.6727572,0.0016662,0.0009682862,0.0007062019,0.000001026641,0.0001407863,0.0001689388],"genre_scores_gemma":[0.9539488,0.00002492296,0.04508999,0.00003412418,0.0005598529,0.0002188818,0.000007212157,0.00001690856,0.00009933623],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6307397,"threshold_uncertainty_score":0.6398414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3987904420369217,"score_gpt":0.5051790844681736,"score_spread":0.106388642431252,"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."}}