{"id":"W1630057220","doi":"10.3968/4710","title":"Low-Carbon Education Theory Utilized in Teaching","year":2014,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rationalization (economics); Mathematics education; Education theory; Consistency (knowledge bases); Teaching method; Fuzzy logic; Computer science; Pedagogy; Higher education; Psychology; Epistemology; Political science; Artificial intelligence; Philosophy","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":[0.001527213,0.00008248749,0.0001078548,0.0003061471,0.0002241587,0.00005127269,0.0009594728,0.00006344006,0.00003187741],"category_scores_gemma":[0.0001195245,0.00008308762,0.00002638263,0.0008848542,0.0003287566,0.0004474983,0.0001047296,0.0001697607,0.000007907763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001726159,"about_ca_system_score_gemma":0.00169908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000436948,"about_ca_topic_score_gemma":7.551812e-7,"domain_scores_codex":[0.998803,0.0001412044,0.0002190691,0.0003201641,0.0003179158,0.0001986109],"domain_scores_gemma":[0.9992573,0.0001001294,0.0001593704,0.000283102,0.0001492525,0.00005080358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000001154867,0.0004142484,0.001919655,0.000006888495,8.431985e-7,1.042288e-8,0.001150867,5.738042e-7,0.003075428,0.9412097,0.00016325,0.05205742],"study_design_scores_gemma":[0.0001430337,0.00003053168,0.6107377,0.00005528417,0.000003259983,9.476679e-7,0.0006157896,0.0001643422,0.004793845,0.3661053,0.0171738,0.0001761037],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5318099,0.0001113711,0.003697727,0.005728481,0.003701408,0.0002284151,2.652037e-7,0.000111962,0.4546104],"genre_scores_gemma":[0.9896311,0.000001996232,0.007052363,0.0004694841,0.0001524836,0.00004790271,0.000001224981,0.000003439425,0.002640024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6088181,"threshold_uncertainty_score":0.3388215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119038889506878,"score_gpt":0.3328538083047692,"score_spread":0.3216634194097004,"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."}}