{"id":"W2900565259","doi":"10.1071/aj12044","title":"Introducing the Kerogen LNG Project Success Index","year":2013,"lang":"en","type":"article","venue":"The APPEA Journal","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Inro Consultants (Canada)","funders":"","keywords":"Government (linguistics); Business; Reputation; Index (typography); Quality (philosophy); Productivity; Finance; Marketing; Economics; Computer science; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003561888,0.0001293537,0.0001071795,0.0000772437,0.0002139934,0.0002228509,0.0006140961,0.00005508804,0.00004723237],"category_scores_gemma":[0.0000571431,0.00006413173,0.00005670611,0.0002179085,0.00005547214,0.0001561462,0.00007284106,0.0007070249,0.00008374297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000395972,"about_ca_system_score_gemma":0.00001300307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003334785,"about_ca_topic_score_gemma":0.000003835709,"domain_scores_codex":[0.99927,0.00002376421,0.0001722346,0.00007416189,0.0001567921,0.0003031126],"domain_scores_gemma":[0.9995231,0.00006159407,0.00003188973,0.00032239,0.00003330372,0.00002774766],"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":[0.00001262813,0.00004040559,0.01016144,0.0001127217,0.0007929762,0.00003730144,0.003512394,0.5186259,0.01466674,0.004431652,0.1461712,0.3014347],"study_design_scores_gemma":[0.00200739,0.0002733292,0.08765875,0.0005592442,0.0002427404,0.00547726,0.009599953,0.5745202,0.05077723,0.01963738,0.246904,0.00234249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795122,0.002149907,0.01122294,0.002697523,0.0008406412,0.0002486661,8.577328e-7,0.0007229224,0.002604326],"genre_scores_gemma":[0.9988188,0.0001744531,0.0003114278,0.00003059572,0.0005377846,0.00002071092,3.140988e-7,0.00002855414,0.00007732455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2990922,"threshold_uncertainty_score":0.3071711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006559851679497036,"score_gpt":0.195117681109421,"score_spread":0.1885578294299239,"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."}}