{"id":"W1976523575","doi":"10.2523/iptc-10672-abstract","title":"Monitoring and Production of a Heavy-Oil Extraction Process at Peace River, Canada","year":2005,"lang":"en","type":"article","venue":"International Petroleum Technology Conference","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Extraction (chemistry); Petroleum engineering; Microseism; Drilling; Process (computing); Asset (computer security); Geology; Environmental science; Mining engineering; Engineering; Civil engineering; Computer science; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003171291,0.000320517,0.0001926437,0.001441394,0.002279507,0.001041388,0.0008204487,0.0002569457,0.00253128],"category_scores_gemma":[0.0005295665,0.0002608611,0.0001979689,0.002070145,0.0005176461,0.0004472962,0.0005837156,0.0004121953,0.0003580338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01205994,"about_ca_system_score_gemma":0.01590753,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9215433,"about_ca_topic_score_gemma":0.9638782,"domain_scores_codex":[0.9992107,0.0000128935,0.00001179969,0.00009639309,0.0005727593,0.00009545123],"domain_scores_gemma":[0.999154,0.0000373049,0.00004761896,0.00002089879,0.0006820772,0.00005801185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001134442,0.0005175426,0.359275,0.0004690176,0.0001246054,0.003255177,0.005546312,0.0244467,0.2698021,0.003445078,0.02023218,0.3117519],"study_design_scores_gemma":[0.00006610756,0.0005641186,0.7233377,0.00009899495,0.000081591,0.0003292897,0.007239056,0.0492301,0.1435486,0.0005389428,0.0748484,0.0001171549],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9570126,0.0003041982,0.00689911,0.0004380425,0.0000203373,0.0002670763,0.006220095,0.0004202486,0.02841824],"genre_scores_gemma":[0.9661732,0.0004956673,0.009579163,0.00008207002,0.000003673061,0.0000543505,0.00292247,0.0000900653,0.02059928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0784567,"threshold_uncertainty_score":0.1578375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006508103094626729,"score_gpt":0.2165956681529658,"score_spread":0.2100875650583391,"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."}}