{"id":"W4251717039","doi":"10.1002/cjce.22671","title":"Table of Contents","year":2017,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Energy Technologies and Civil Engineering Innovations","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Computer science; Citation; Table of contents; Information retrieval; World Wide Web; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008349808,0.00007154588,0.0001432332,0.00006989331,0.00008752066,0.00002887179,0.0005751689,0.00006086782,0.00002500904],"category_scores_gemma":[0.0006035378,0.0000540252,0.00005006811,0.00007573216,0.00008429622,0.00009746929,0.00002103427,0.0002202298,8.655065e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005273375,"about_ca_system_score_gemma":0.00006948481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003050775,"about_ca_topic_score_gemma":0.000587631,"domain_scores_codex":[0.9994797,0.000001376049,0.0002160104,0.00004025877,0.00008343091,0.0001791917],"domain_scores_gemma":[0.9993054,0.00002456169,0.0001590638,0.0002911806,0.0001230764,0.00009671822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006244783,0.000006907961,0.0003351858,0.0000254608,0.0001175716,0.00002958196,0.00005253022,0.5151342,0.2280657,0.2512425,0.0005099494,0.004474255],"study_design_scores_gemma":[0.0008926859,0.00005917828,0.001878093,0.0003195459,0.00005237032,0.0001650675,0.00003783388,0.01888043,0.8824643,0.005152621,0.08972479,0.0003730313],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807214,0.0006776291,0.00788979,0.002389446,0.001032266,0.00005574316,0.0000111961,0.00005513074,0.007167409],"genre_scores_gemma":[0.9987713,0.0000027258,0.001039767,0.00001550697,0.00007642215,0.000001100321,5.136904e-7,0.00001336412,0.00007935186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6543987,"threshold_uncertainty_score":0.461188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388053289918964,"score_gpt":0.2044080396104109,"score_spread":0.1905275067112212,"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."}}