{"id":"W4388338389","doi":"10.1007/978-981-19-4804-6_11","title":"Feature Versus Component Teams","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Component (thermodynamics); Feature (linguistics); Computer science; Pattern recognition (psychology); Artificial intelligence; Physics; Philosophy; Linguistics","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":[0.0003298435,0.0006128019,0.0004413473,0.0005315099,0.001105982,0.002410264,0.001024257,0.0008003681,0.05877302],"category_scores_gemma":[0.001141989,0.0002714471,0.000418719,0.00100358,0.0009936019,0.003178527,0.00202649,0.001396253,0.01763413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007338612,"about_ca_system_score_gemma":0.0006456244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001068986,"about_ca_topic_score_gemma":0.002449677,"domain_scores_codex":[0.9996231,0.00008603131,0.000009758992,0.00009472582,0.0001083561,0.00007806452],"domain_scores_gemma":[0.9996582,0.00008004925,0.00002438728,0.0001053004,0.00005832444,0.00007366582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000493032,0.00004199396,0.0002356575,0.00008481953,0.000007826617,0.00008147584,0.000638478,0.001861701,0.0006966692,0.709015,0.0720976,0.2151895],"study_design_scores_gemma":[0.00001777246,0.000148456,0.0005884564,0.0001455567,0.00001467836,0.0003622689,0.0007140758,0.005256567,0.000778969,0.3358354,0.6561277,0.00001015648],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006484948,0.0007481947,0.1044635,0.0006670205,0.0005401876,0.00005250256,0.00009031731,0.0004444594,0.8865088],"genre_scores_gemma":[0.1432127,0.0009795126,0.04024136,0.0004160384,0.0002755036,0.0001849839,0.0002645147,0.0005623916,0.8138631],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05877302,"threshold_uncertainty_score":0.1966153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02973052649482901,"score_gpt":0.2380496584992812,"score_spread":0.2083191320044522,"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."}}