{"id":"W2573987334","doi":"","title":"특허정보를 활용한 CCS(CO2 Capture and Storage) 기술동향 분석","year":2015,"lang":"ko","type":"article","venue":"한국분말야금학회지","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbon capture and storage (timeline); Greenhouse gas; Key (lock); China; Sorbent; Environmental economics; Business; Environmental science; Natural resource economics; Computer science; Climate change; Political science; Economics; Chemistry","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":[],"category_scores_codex":[0.0007014601,0.0005491513,0.0005209255,0.0002855318,0.0001032034,0.0002219508,0.0004488129,0.0005193523,0.0002004401],"category_scores_gemma":[0.0001819208,0.0005840522,0.00009306674,0.0005089042,0.0001377818,0.0002036361,0.0002800863,0.001351034,0.001057881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003177622,"about_ca_system_score_gemma":0.0001550838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002926721,"about_ca_topic_score_gemma":0.00003707501,"domain_scores_codex":[0.9971585,0.00006339997,0.0003880706,0.000585459,0.0007352523,0.001069354],"domain_scores_gemma":[0.9979701,0.0001411109,0.00004587077,0.0007932702,0.0001382916,0.0009113797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000239215,0.000463775,0.009110129,0.004904278,0.001292933,0.001784833,0.01961621,0.6515172,0.02740594,0.01434665,0.2474687,0.02185021],"study_design_scores_gemma":[0.007969679,0.0005427276,0.01808553,0.0008728029,0.0003516242,0.0004411933,0.003910369,0.5585819,0.008285228,0.00149688,0.3949044,0.004557575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.919486,0.02290831,0.01078762,0.001441658,0.003258434,0.001087627,0.0001426876,0.001461911,0.03942571],"genre_scores_gemma":[0.9905947,0.0003627588,0.001952725,0.00006247796,0.0007792687,0.00004617738,0.00002480052,0.0002234709,0.005953651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1474358,"threshold_uncertainty_score":0.9997199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01964412221628807,"score_gpt":0.2426194327765893,"score_spread":0.2229753105603012,"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."}}