{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006229761,0.0007474095,0.0004434638,0.002935326,0.002304924,0.006846569,0.001418094,0.00154041,0.5491282],"category_scores_gemma":[0.005051409,0.0004345516,0.0003498059,0.00647015,0.0007166335,0.005463509,0.001975269,0.001929586,0.4924633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003619466,"about_ca_system_score_gemma":0.004104449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1402944,"about_ca_topic_score_gemma":0.216177,"domain_scores_codex":[0.9991374,0.00005067622,0.00004212584,0.00008675266,0.0005317114,0.0001512686],"domain_scores_gemma":[0.9976427,0.0002737823,0.0001154302,0.0003339443,0.00127072,0.0003633594],"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":[0.000005549093,0.00000332209,0.00009173139,0.0000288988,5.20784e-7,0.00001868575,0.00003046427,0.000009122997,0.00001535366,0.002220287,0.9761993,0.02137681],"study_design_scores_gemma":[8.752852e-7,4.505221e-7,0.00009891681,0.00001672606,2.892973e-7,0.00001145133,0.0000300575,0.000002865243,0.000008223237,0.0001615684,0.9996674,0.000001172123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002907431,0.002466819,0.0002510359,0.005684021,0.003300441,0.00003824219,0.02092879,0.001741227,0.9652987],"genre_scores_gemma":[0.002247394,0.002419082,0.0002925082,0.002564525,0.0005135476,0.00002370459,0.01143091,0.0006648174,0.9798436],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5491282,"threshold_uncertainty_score":0.6431139,"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."}}