{"id":"W2312473848","doi":"10.1190/1.3659132","title":"Validation and application of magnetic anomalies for directional drilling","year":2011,"lang":"en","type":"article","venue":"","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drilling; Computer science; Geology; Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001879704,0.0004101416,0.0002258369,0.001242039,0.0003505786,0.0006782829,0.0007134723,0.0005516617,0.0008649086],"category_scores_gemma":[0.01464199,0.0002035903,0.0002506915,0.0008759926,0.0003097565,0.0005016749,0.0006134447,0.0003350814,0.0005179109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002885723,"about_ca_system_score_gemma":0.0009799089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006756916,"about_ca_topic_score_gemma":0.007619594,"domain_scores_codex":[0.9989085,0.0002927246,0.0001109064,0.0002003035,0.0004234013,0.00006419437],"domain_scores_gemma":[0.9957015,0.001008811,0.0004823337,0.0008693051,0.001826974,0.0001109812],"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":[0.0003422828,0.0002755526,0.247984,0.0001977697,0.00007609108,0.0003117108,0.000727655,0.1547395,0.1631752,0.00338208,0.001334205,0.427454],"study_design_scores_gemma":[0.0001012409,0.0004162826,0.1045968,0.00007054395,0.00003619073,0.0003508567,0.0004801403,0.7913715,0.09302212,0.001632942,0.007845441,0.00007589091],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6683537,0.0001098137,0.323728,0.0001281788,0.00007955469,0.0001790727,0.0009668085,0.003000887,0.003453909],"genre_scores_gemma":[0.8355595,0.00007511178,0.1632368,0.00001641804,0.000008126746,0.00006324032,0.0005657105,0.0001081775,0.0003669639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006756916,"threshold_uncertainty_score":0.01343513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009439543770645892,"score_gpt":0.1772304177832255,"score_spread":0.1677908740125796,"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."}}