{"id":"W7058805003","doi":"","title":"Nondestructive Inspection of the NENE X Turbine Rotor Disk Blade Buckets","year":2000,"lang":"en","type":"other","venue":"NPARC","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turbine blade; Rotor (electric); Blade (archaeology); Turbine; Nondestructive testing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001907962,0.000183012,0.0002104639,0.00009757971,0.0000143008,0.000006584497,0.0002061068,0.0002859469,0.005965095],"category_scores_gemma":[0.00000876682,0.0001449327,0.00007415434,0.0001210175,0.00006906512,0.00001348557,0.00002413408,0.0002757155,0.00001661795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002678456,"about_ca_system_score_gemma":0.00001015771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001241006,"about_ca_topic_score_gemma":0.00009257237,"domain_scores_codex":[0.9993992,0.00002004865,0.000153354,0.0001405869,0.0001514848,0.0001353349],"domain_scores_gemma":[0.9994783,0.00001407823,0.000054988,0.0004194374,0.000007308531,0.00002584427],"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":[0.00001468928,0.00003480174,0.00008918655,0.0003338229,0.0001138519,0.000004684639,0.000348639,0.00007772675,0.06285812,0.0006570681,0.9122517,0.02321576],"study_design_scores_gemma":[0.0005296383,0.0001626567,0.003715569,0.0007705045,0.0001326187,0.00002773661,0.00003033289,0.001792007,0.1688083,0.005567786,0.8175871,0.0008758051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004610711,0.0001321852,0.0001223857,0.00005106541,0.0003436733,0.0004437721,0.00004094013,0.001006991,0.9932483],"genre_scores_gemma":[0.5212356,0.0008762343,0.01236966,0.00006627622,0.001134124,0.0001462013,0.00002124062,0.0009677825,0.4631829],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5300654,"threshold_uncertainty_score":0.9949436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003479483554672715,"score_gpt":0.1826752043566947,"score_spread":0.179195720802022,"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."}}