{"id":"W7007707575","doi":"","title":"Advanced Coatings R&D for Pipelines and Related Facilities","year":2005,"lang":"en","type":"article","venue":"Insecta mundi","topic":"Diverse Research and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Government (linguistics); Pipeline transport; NIST; Safety standards; Steering committee","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":[0.0001219997,0.00006632687,0.00007350546,0.00005048555,0.0001630358,0.0001110376,0.0002887157,0.0000295506,0.00002260583],"category_scores_gemma":[0.0001167205,0.00006154284,0.00002813716,0.0001381828,0.00005753488,0.0003674539,0.0001167899,0.00006144989,0.00008272982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001786002,"about_ca_system_score_gemma":0.00003392903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002215365,"about_ca_topic_score_gemma":0.0002299258,"domain_scores_codex":[0.999355,0.00001278422,0.0001162859,0.0002028443,0.0001116452,0.0002014098],"domain_scores_gemma":[0.9994345,0.000140174,0.00003096387,0.0002362286,0.00008273214,0.00007545091],"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":[0.0000414584,0.0002167688,0.002263773,0.0001105761,0.00004285899,0.000003129613,0.007667815,0.0002324699,0.02987325,0.3604838,0.01957432,0.5794898],"study_design_scores_gemma":[0.00102502,0.000125283,0.001763551,0.000022223,0.000003855027,0.00001601368,0.00005507777,0.01525172,0.0008397912,0.01679659,0.9638401,0.0002607865],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7400768,0.0009049941,0.2277086,0.01026876,0.0002198781,0.0009896461,0.00009797925,0.0005605412,0.0191728],"genre_scores_gemma":[0.9343258,0.0000814974,0.05667609,0.0001301056,0.00004861096,0.00009579062,0.00001101162,0.000005721336,0.008625337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9442658,"threshold_uncertainty_score":0.2509644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03217962278805681,"score_gpt":0.2945394995381176,"score_spread":0.2623598767500608,"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."}}