{"id":"W7096325884","doi":"","title":"TEN GREEN TESTS FOR THE ITALIAN PRESIDENCY","year":2014,"lang":"en","type":"article","venue":"","topic":"International Arbitration and Investment Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presidency; Excuse; Deregulation; Damages; Investment (military); General partnership; Transatlantic Trade and Investment Partnership; State (computer science); Action (physics); Human settlement","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00513293,0.001163737,0.0005042927,0.001704758,0.01248831,0.009236991,0.002182292,0.01249398,0.03203405],"category_scores_gemma":[0.01153137,0.0005894352,0.001265021,0.001002924,0.005342101,0.002578588,0.003776282,0.0121651,0.007636624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02584767,"about_ca_system_score_gemma":0.04588723,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5730957,"about_ca_topic_score_gemma":0.739309,"domain_scores_codex":[0.9926075,0.0006954776,0.0001792937,0.0008125911,0.003403258,0.002302004],"domain_scores_gemma":[0.9965951,0.0004969115,0.0001354541,0.000275815,0.001742268,0.0007545459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007404111,0.00005067047,0.0009399662,0.0000478611,0.00001308535,0.0002679458,0.000782881,0.0001437509,0.0003237732,0.2914268,0.6927293,0.01319989],"study_design_scores_gemma":[0.00002858689,0.00002655446,0.002636581,0.0001046854,0.0000150271,0.00004106615,0.0004693888,0.0001889101,0.0004108317,0.008889131,0.9871423,0.00004687992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008657156,0.002064218,0.001513922,0.1100205,0.008044304,0.0004940806,0.001083787,0.0003662639,0.8677558],"genre_scores_gemma":[0.07123802,0.0004898905,0.00284967,0.09309675,0.001132896,0.000370564,0.0005834657,0.0002241464,0.8300146],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5730957,"threshold_uncertainty_score":0.8588369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02512866226127478,"score_gpt":0.2468496111812013,"score_spread":0.2217209489199265,"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."}}