{"id":"W2765138087","doi":"10.21423/r1pw73","title":"Reciprocating Compressor Condition Monitoring.","year":2007,"lang":"en","type":"article","venue":"OakTrust (Texas A&M University Libraries)","topic":"Advanced Sensor Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shell Canada","keywords":"Reciprocating compressor; Reciprocating motion; Pipeline (software); Gas compressor; Condition monitoring; Engineering; Oil refinery; Automotive engineering; Mechanical engineering; Electrical engineering; Waste management","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008612186,0.0006174346,0.0004990912,0.001294467,0.0004484474,0.0006932301,0.0006647533,0.001004641,0.006669004],"category_scores_gemma":[0.001951936,0.0002007364,0.0001871916,0.0009529982,0.0004645382,0.001239417,0.00056769,0.0004967253,0.002247285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004957864,"about_ca_system_score_gemma":0.0005517035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001861317,"about_ca_topic_score_gemma":0.002532681,"domain_scores_codex":[0.9982601,0.000163075,0.00004774189,0.000278299,0.001186175,0.00006463802],"domain_scores_gemma":[0.9987418,0.0002664561,0.0002218912,0.0001584598,0.0005557411,0.00005555082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007999241,0.00009595804,0.01183297,0.0008615965,0.00004304884,0.0003008506,0.000376777,0.004396142,0.1744936,0.006176293,0.02432126,0.7763016],"study_design_scores_gemma":[0.0001502572,0.001535813,0.07244533,0.0003675307,0.000178862,0.00455018,0.0003946867,0.09269886,0.4750062,0.004932861,0.3474577,0.0002816592],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1441662,0.02420718,0.6813394,0.001536103,0.0008661001,0.001278264,0.004568676,0.01692405,0.1251141],"genre_scores_gemma":[0.7961742,0.006677201,0.1480656,0.0004985631,0.0003218701,0.000323263,0.002097102,0.0003631578,0.04547904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006669004,"threshold_uncertainty_score":0.02231008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550919199074004,"score_gpt":0.2296025995357635,"score_spread":0.2140934075450234,"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."}}