{"id":"W2981947778","doi":"10.4095/212055","title":"Shell-Amoco Cap Rouge F-52, Gulf of St. Lawrence, eastern Canada","year":2001,"lang":"en","type":"report","venue":"","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"ROUGE; Shell (structure); Environmental science; Geography; Oceanography; Geology; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001279879,0.0004705368,0.0006981356,0.0002334338,0.00002168127,0.00002129027,0.0004971726,0.0005148471,0.000321353],"category_scores_gemma":[0.00007189263,0.0004430929,0.0001191952,0.0002973803,0.00004328247,0.00005022467,0.00009318092,0.0005980473,0.00001329669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004425579,"about_ca_system_score_gemma":0.0006554148,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3277032,"about_ca_topic_score_gemma":0.4064999,"domain_scores_codex":[0.9979497,0.000005221619,0.0005490361,0.0002981834,0.0007140592,0.0004837898],"domain_scores_gemma":[0.9989074,0.0000483394,0.00008515427,0.000716939,0.0001529047,0.00008927849],"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":[0.000003013441,0.00003901346,0.003324112,0.002426627,0.0006950957,0.0004178766,0.00003194412,0.07961144,0.0001656147,0.0003218177,0.8679197,0.04504374],"study_design_scores_gemma":[0.0001207841,0.00002921053,0.0004346125,0.0003184621,0.0000601409,0.00007022545,0.00006850523,0.004287399,0.001732775,0.00003987337,0.9921545,0.00068352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0207537,0.009395445,0.005621423,0.0000641648,0.006921512,0.0004746752,0.0004640369,0.003871663,0.9524334],"genre_scores_gemma":[0.928768,0.004718485,0.001274195,0.000009629251,0.0005025489,0.00005250848,0.0002052335,0.0002286718,0.06424072],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9080143,"threshold_uncertainty_score":0.9998021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486241301936905,"score_gpt":0.2080749673696009,"score_spread":0.1932125543502319,"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."}}