{"id":"W7130314754","doi":"10.69894/20190110","title":"Folks, facts, orgs ...","year":2019,"lang":"en","type":"article","venue":"Oil IT Journal.","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Subsea; Submarine pipeline; Creatures; Software; Efficient energy use","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":[0.0001015168,0.0001203629,0.0001370466,0.000116841,0.00003172487,0.00006245706,0.0002021999,0.00009228927,0.000396313],"category_scores_gemma":[0.00002699613,0.0001056024,0.00005955498,0.0001206604,0.000009226854,0.000123802,0.00002105598,0.0004168576,0.000775383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005048244,"about_ca_system_score_gemma":0.000008696959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.511165e-7,"about_ca_topic_score_gemma":7.711539e-7,"domain_scores_codex":[0.9993994,0.00000429107,0.0001437877,0.0000757349,0.0001267069,0.0002500892],"domain_scores_gemma":[0.9996749,0.00002699715,0.00001867188,0.0001952408,0.00002342463,0.0000608087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007751718,0.00004246895,0.00346819,0.0003503708,0.000362555,0.000176106,0.0004966766,0.121734,0.02496335,0.001764945,0.2384888,0.6081448],"study_design_scores_gemma":[0.0004646892,0.00006362124,0.001031512,0.0001650761,0.00001878041,0.0003148347,0.0003267989,0.007421465,0.0102591,0.0003436641,0.9791579,0.0004326109],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7804283,0.004300422,0.002700766,0.001017953,0.004146763,0.00004049235,0.000004556246,0.002138432,0.2052223],"genre_scores_gemma":[0.9925057,0.001321823,0.001229489,0.00003142607,0.0001308743,0.000001763576,0.000001029824,0.00003828826,0.004739568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7406691,"threshold_uncertainty_score":0.9966238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005246422135262179,"score_gpt":0.1812359081546303,"score_spread":0.1759894860193681,"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."}}