{"id":"W2981816415","doi":"","title":"독일의 화학산업, 영국의 화학산업을 어떻게 추월했나?","year":2014,"lang":"ko","type":"article","venue":"사림(성대사림)","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"German; Scope (computer science); Chemical industry; Quarter (Canadian coin); Business; Political science; Chemistry; Economics; History; Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002309449,0.000355324,0.0003046995,0.00001719068,0.0001478675,0.00007149018,0.0005603162,0.0002752774,0.01205219],"category_scores_gemma":[0.00009162619,0.0003677702,0.0001716284,0.0002340115,0.0002379334,0.0001720703,0.0003424025,0.0004494345,0.004426951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002059722,"about_ca_system_score_gemma":0.00001157819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000109511,"about_ca_topic_score_gemma":0.000009364988,"domain_scores_codex":[0.9979018,0.00002646296,0.0003416136,0.0006077988,0.0004292893,0.0006930546],"domain_scores_gemma":[0.9987798,0.0001091888,0.00008467771,0.0006226535,0.000008491681,0.0003952229],"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":[0.00002301014,0.0002111611,0.003841434,0.000208549,0.00003935467,0.00002171237,0.000363194,0.002917335,0.9529414,0.0003942608,0.01072106,0.02831754],"study_design_scores_gemma":[0.0008397561,0.00007208911,0.005082856,0.0001410441,0.0000669366,0.00003538516,0.0001024718,0.01525532,0.6651233,0.0008075992,0.3115291,0.0009441161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8553755,0.0002240659,0.001847143,0.0006823947,0.0005492026,0.0001428095,0.00002784691,0.0001802969,0.1409708],"genre_scores_gemma":[0.9860154,0.00007537177,0.0006447097,0.0003837986,0.0006020243,0.00001131977,0.00001858973,0.00004187594,0.01220686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.300808,"threshold_uncertainty_score":0.9998775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002451073179128066,"score_gpt":0.1604580815784983,"score_spread":0.1580070083993703,"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."}}