{"id":"W4252115234","doi":"10.1002/div.3311","title":"ATCO Ltd.","year":2005,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Midstream; Business; Electricity; Engineering; Petroleum industry; Environmental engineering","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":[0.00006983805,0.0001652675,0.0001289285,0.0001063306,0.00004425764,0.00002013134,0.0002242501,0.00008387116,0.0002245881],"category_scores_gemma":[0.00002358508,0.0001631149,0.00007462241,0.0001598932,0.00002490449,0.000140537,0.00004359828,0.0001878786,0.0005100193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006438201,"about_ca_system_score_gemma":0.000003699991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004962402,"about_ca_topic_score_gemma":0.000008621142,"domain_scores_codex":[0.9992546,0.000004801077,0.0001510157,0.0001409827,0.0001459132,0.0003026348],"domain_scores_gemma":[0.9996413,0.0000176429,0.00001098667,0.0002540347,0.000008546735,0.00006748109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008293769,0.00008537639,0.008541464,0.0001251378,0.0003599905,0.00002664103,0.0004327157,0.5299993,0.01923133,0.004385143,0.2149211,0.2218836],"study_design_scores_gemma":[0.0003041864,0.00002932127,0.006263936,0.00002984859,0.00003317797,0.000006947054,0.00009304104,0.01873249,0.04356865,0.000132619,0.930274,0.0005317818],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969701,0.002488364,0.007205441,0.001239473,0.001690819,0.0001350532,0.00001384891,0.004820049,0.01270596],"genre_scores_gemma":[0.9962939,0.0003184367,0.002400504,0.00003339094,0.0001747344,0.00001341657,0.000005992055,0.00003624674,0.0007233821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7153529,"threshold_uncertainty_score":0.6651634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006040153114168605,"score_gpt":0.1838305647285638,"score_spread":0.1777904116143952,"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."}}