{"id":"W4323655163","doi":"10.2118/212569-ms","title":"Field Testing of an Automated 3D Cuttings and Cavings Measurement Sensor","year":2023,"lang":"en","type":"article","venue":"SPE/IADC International Drilling Conference and Exhibition","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apache (Canada)","funders":"","keywords":"Automation; Field (mathematics); Field trial; Engineering; Drilling; Simulation; Computer science; Marine engineering; Mechanical engineering","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":[0.001238741,0.0004902383,0.0003920618,0.0004924801,0.0003566019,0.0004920156,0.001335748,0.0009127271,0.002230191],"category_scores_gemma":[0.001286976,0.0003497202,0.0003288738,0.0002461509,0.0005468159,0.0007983765,0.0005113384,0.0005025934,0.0004236487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004976742,"about_ca_system_score_gemma":0.0009164434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002416456,"about_ca_topic_score_gemma":0.003127495,"domain_scores_codex":[0.9990416,0.00009002857,0.00005222244,0.0001975297,0.0005292805,0.00008943614],"domain_scores_gemma":[0.9983447,0.0003356137,0.0001181277,0.0002079653,0.0008666454,0.0001268774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005876627,0.0007837943,0.01061167,0.0004069819,0.00006054166,0.0005704907,0.0009381451,0.01187942,0.875653,0.0006472614,0.003229616,0.09463144],"study_design_scores_gemma":[0.0004074533,0.01304708,0.04307925,0.00006073455,0.00008913678,0.00105473,0.0009240348,0.1188677,0.8029978,0.0003308847,0.01899946,0.0001417524],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9017147,0.00009194545,0.09249838,0.0002406219,0.0001768829,0.0007908688,0.0005893506,0.001649739,0.002247377],"genre_scores_gemma":[0.9188071,0.00006198736,0.07696038,0.0001440874,0.00001644661,0.0002470129,0.000331359,0.00006592759,0.003365606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002416456,"threshold_uncertainty_score":0.007460773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02884472271363272,"score_gpt":0.2456507027358904,"score_spread":0.2168059800222577,"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."}}