{"id":"W6922688835","doi":"10.13140/rg.2.2.27981.41446","title":"8th World Congress of Chemical Engineering, Montreal, Canada","year":2009,"lang":"en","type":"article","venue":"","topic":"Chemical and Environmental Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Legislation; Work (physics); Agency (philosophy)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.00002732123,0.00006878904,0.00009349422,0.00002668991,0.000005801134,0.00001119233,0.0003834856,0.00001659409,0.00004169517],"category_scores_gemma":[0.00001151834,0.00005883938,0.00002242064,0.0001652813,0.00001126596,0.00005825884,0.00007896831,0.00007990545,0.000002680415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006233162,"about_ca_system_score_gemma":0.00002932268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04968245,"about_ca_topic_score_gemma":0.004809184,"domain_scores_codex":[0.9993575,0.000001650609,0.0001012784,0.0001327552,0.0002240282,0.0001827738],"domain_scores_gemma":[0.9996406,0.00002451917,0.00001066738,0.0002071437,0.00000730123,0.0001097976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008137154,0.0002144299,0.0004876399,0.00005621055,0.00003168124,0.00006998146,0.0000426556,0.008232566,0.8637564,0.01795927,0.06640602,0.04273504],"study_design_scores_gemma":[0.0002362906,0.00002432899,0.006330791,0.00001784561,0.00000142688,0.000006335841,9.68465e-7,0.1535136,0.8357301,0.0001497308,0.00381308,0.000175483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9339811,0.0002983517,0.04353765,0.003368472,0.0003750989,0.0002079163,0.000008055678,0.0003059709,0.01791741],"genre_scores_gemma":[0.995014,0.000002414224,0.003983836,0.0000867416,0.00001581377,0.000001279,0.000001175273,0.000002536337,0.0008922124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.145281,"threshold_uncertainty_score":0.9566458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004063032097080197,"score_gpt":0.1770153921676435,"score_spread":0.1729523600705633,"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."}}