{"id":"W4232207526","doi":"10.1002/cjce.5450810620","title":"Keywords — 2003","year":2003,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; Information retrieval; Library science","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":[0.0001249792,0.00007126493,0.00008341453,0.00007540629,0.00002417858,0.00003888429,0.0001231005,0.00004638238,0.0001112146],"category_scores_gemma":[0.000315831,0.00005448367,0.00002956081,0.0002492503,0.00001561641,0.00009354316,9.80856e-7,0.0002274274,0.000006138545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001160048,"about_ca_system_score_gemma":0.0001633336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002807083,"about_ca_topic_score_gemma":0.000037142,"domain_scores_codex":[0.999575,0.000004414065,0.0001658025,0.00002747588,0.00007514378,0.0001521859],"domain_scores_gemma":[0.9995773,0.00001325174,0.00002056733,0.00006421281,0.0001197852,0.0002049185],"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":[0.000001407191,0.000002686813,0.00005229006,0.00002660663,0.0000485238,0.00001236084,0.0002937417,0.9546815,0.02239471,0.0126578,0.00896442,0.0008639442],"study_design_scores_gemma":[0.0004656281,0.0000221529,0.00003364147,0.0001118551,0.00003634795,0.000387653,0.0000325526,0.368686,0.4982219,0.0004744066,0.1311489,0.0003788468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5296078,0.01527045,0.3548275,0.001765765,0.008456738,0.0004919044,0.00002138248,0.0004290616,0.08912933],"genre_scores_gemma":[0.9980931,0.000006792824,0.001713578,0.00005516026,0.00007142979,0.000001018184,6.904103e-7,0.00001637068,0.00004186914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5859955,"threshold_uncertainty_score":0.222178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005039098746236077,"score_gpt":0.1644971015971244,"score_spread":0.1594580028508883,"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."}}