{"id":"W4385885364","doi":"10.55274/r0012224","title":"PR393-215101-R01 IRIS X-ray CT for Flexible Pipes","year":2022,"lang":"en","type":"report","venue":"","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Subsea; IRIS (biosensor); Computer science; Marine engineering; Engineering; Artificial intelligence","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003696477,0.0005097591,0.000634512,0.0004325438,0.00009503109,0.00005404401,0.0005163641,0.0002802277,0.001056467],"category_scores_gemma":[0.0002490606,0.0004941119,0.0003068071,0.0003027948,0.00003262253,0.0000691311,0.0001532394,0.0007672493,0.00003945526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004341786,"about_ca_system_score_gemma":0.000153358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007007005,"about_ca_topic_score_gemma":0.000008423493,"domain_scores_codex":[0.9980397,0.000005791078,0.0004472201,0.0004182171,0.000507369,0.0005817526],"domain_scores_gemma":[0.9989366,0.0001471769,0.00006200768,0.0006973953,0.0000895639,0.00006728608],"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":[0.00000272922,0.00002571972,0.00003303222,0.0014826,0.0003856947,0.0000396272,0.00002335621,0.06238108,0.0001403479,0.0004013351,0.8367633,0.09832122],"study_design_scores_gemma":[0.0001362893,0.00007141846,0.00006399177,0.00006159066,0.00007693982,0.00004231311,0.00009115598,0.003583468,0.001674,0.0001622595,0.9934034,0.0006331107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001515967,0.03306482,0.08909058,0.0002928169,0.01637001,0.002236587,0.0009074569,0.04814586,0.8083759],"genre_scores_gemma":[0.2323481,0.03366734,0.1081191,0.0000914292,0.004554965,0.006860574,0.002929794,0.002410263,0.6090184],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2308321,"threshold_uncertainty_score":0.9998567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03107407366389173,"score_gpt":0.2576537676900302,"score_spread":0.2265796940261385,"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."}}