{"id":"W1990429574","doi":"10.2118/105842-ms","title":"A New Drillstring Fatigue Supervision System","year":2007,"lang":"en","type":"article","venue":"","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Drilling; Context (archaeology); Identification (biology); Engineering; Structural engineering; Computer science; Fatigue testing; Mechanical engineering; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006938977,0.0006135082,0.0007344336,0.001118654,0.0003626136,0.0008417812,0.001181948,0.0005611719,0.007472336],"category_scores_gemma":[0.001395745,0.0003616823,0.000244727,0.0004527408,0.0002432044,0.00171287,0.001085105,0.0006489086,0.002394489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004668463,"about_ca_system_score_gemma":0.000785797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00285407,"about_ca_topic_score_gemma":0.002134416,"domain_scores_codex":[0.9992817,0.00006542483,0.0000724564,0.0002591203,0.0002675206,0.00005383989],"domain_scores_gemma":[0.9988222,0.0001598572,0.0001400707,0.000239064,0.000525245,0.0001136725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001430958,0.0003983266,0.01143636,0.0004822008,0.0001030266,0.000525637,0.0004379164,0.01945222,0.1034592,0.002519521,0.02102602,0.8387286],"study_design_scores_gemma":[0.0002854934,0.001049873,0.01123124,0.0000894903,0.0001472072,0.000951983,0.00016828,0.8417515,0.0901775,0.00222959,0.05177451,0.0001433164],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.078182,0.0005148575,0.8182917,0.0002975185,0.0002466986,0.0003660427,0.001232804,0.09166107,0.009207321],"genre_scores_gemma":[0.7758051,0.0002612388,0.206583,0.0002730209,0.000199765,0.0004117162,0.002932353,0.0003691637,0.01316457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007472336,"threshold_uncertainty_score":0.02499747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009491710204003814,"score_gpt":0.1977640200634117,"score_spread":0.1882723098594078,"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."}}