{"id":"W6987665228","doi":"","title":"The Trans-Pacific Partnership (TPP) Negotiations and Issues for Congress","year":2014,"lang":"en","type":"other","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Geochemistry and Geochronology of Asian Mineral Deposits","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Negotiation; State (computer science); Public policy; Limited partnership","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"],"consensus_categories":[],"category_scores_codex":[0.00005977214,0.0003088598,0.0006735462,0.000277217,0.0003072791,0.00006222912,0.0008479087,0.0002667873,0.0006686466],"category_scores_gemma":[0.00002194341,0.0003971219,0.0003007423,0.000237059,0.0009465558,0.0006374694,0.0002028129,0.0002071416,0.0001567754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001819095,"about_ca_system_score_gemma":0.00005475058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001748793,"about_ca_topic_score_gemma":0.001517668,"domain_scores_codex":[0.9987748,0.00002237359,0.0002511389,0.0005466184,0.00006874675,0.0003363024],"domain_scores_gemma":[0.9984886,0.0001339567,0.0007092165,0.0004603888,0.00004344002,0.0001644225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001029711,0.00009084833,0.7716073,0.0002746928,0.0003369616,0.00001181156,0.00005875458,0.0000104529,2.126181e-8,0.003593455,0.222046,0.001866743],"study_design_scores_gemma":[0.0006451577,0.0001068278,0.3302693,0.00005079179,0.0000487585,0.000002603282,0.00005156467,0.00004065606,0.000001657297,0.0004699936,0.6680257,0.0002869134],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1344862,0.004836167,0.002287841,0.005609588,0.0004558811,0.001547401,0.01852545,0.0003813287,0.8318702],"genre_scores_gemma":[0.2906149,0.001410634,0.0005497453,0.00002229129,0.00008276138,9.680953e-8,0.001261665,0.00008279082,0.7059751],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4459798,"threshold_uncertainty_score":0.9998481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176256341985086,"score_gpt":0.1663289638329093,"score_spread":0.1545664004130585,"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."}}