{"id":"W2121750549","doi":"","title":"A patent analysis of hydrogen storage techniques in Taiwan: A preliminary study of the overall industry","year":2011,"lang":"en","type":"article","venue":"Portland International Conference on Management of Engineering and Technology","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Hydrogen technologies; Usability; Patent analysis; Hydrogen storage; Computer science; Energy consumption; Environmental economics; Risk analysis (engineering); Order (exchange); Consumption (sociology); European union; Business; Data science; Hydrogen fuel; Hydrogen; Engineering; Hydrogen economy; Fuel cells; International trade; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001325111,0.00009796767,0.0002005965,0.0009463996,0.00001394439,0.000006611443,0.0003036676,0.00008441575,0.0000954155],"category_scores_gemma":[0.00001850318,0.0000720114,0.00003750919,0.0005620487,0.00004106318,0.00008397144,0.000234213,0.0001553324,5.112233e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009000564,"about_ca_system_score_gemma":0.000003464746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002159943,"about_ca_topic_score_gemma":0.00001900159,"domain_scores_codex":[0.9993116,0.000004386295,0.000289669,0.0001471985,0.0001600609,0.00008713377],"domain_scores_gemma":[0.9995446,0.000004227431,0.0001840522,0.0001670228,0.00009633971,0.00000377991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003991135,0.002032931,0.8108025,0.000433192,0.002731865,0.0000478483,0.0007177268,0.002319651,0.0013189,0.170517,0.00005314693,0.008626153],"study_design_scores_gemma":[0.002285707,0.001139096,0.7894245,0.001261738,0.001357184,0.000003342086,0.005314627,0.1860593,0.006940438,0.004864508,0.000732142,0.0006173797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895439,0.00001295164,0.00007032981,0.0001011876,0.00005717246,0.0002192871,0.000002595673,0.00002657746,0.009966016],"genre_scores_gemma":[0.9997712,0.00001418358,0.00005569601,0.00001497362,0.00000757066,0.00002334977,0.000004679234,0.000005653626,0.0001026768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1837396,"threshold_uncertainty_score":0.293654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1016792240027986,"score_gpt":0.231463102800621,"score_spread":0.1297838787978225,"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."}}