{"id":"W2357137337","doi":"","title":"A New High Resolution Dual Laterolog Logging Method","year":2007,"lang":"en","type":"article","venue":"","topic":"Geoscience and Mining Technology","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Borehole; Logging; Dual (grammatical number); High resolution; Well logging; Resolution (logic); Dual purpose; Petroleum engineering; Remote sensing; Engineering; Geology; Computer science; Geotechnical engineering; Mechanical engineering; Artificial intelligence","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":[0.0004858162,0.0005878312,0.0005611746,0.001895709,0.000372599,0.001038327,0.001319113,0.000899461,0.004684159],"category_scores_gemma":[0.0008939587,0.0004805191,0.000274898,0.001070042,0.0004316941,0.002228699,0.001204502,0.0007032322,0.002212874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002502321,"about_ca_system_score_gemma":0.0006029957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004700827,"about_ca_topic_score_gemma":0.00085907,"domain_scores_codex":[0.9989134,0.00009725255,0.0000441069,0.0002532224,0.000620726,0.00007130351],"domain_scores_gemma":[0.9992611,0.0001156056,0.00008030274,0.0001941329,0.0002951268,0.00005365783],"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":[0.0002420654,0.000118404,0.003141308,0.0003907395,0.00002334825,0.00032422,0.0002473042,0.002666787,0.415199,0.006778223,0.004464778,0.5664037],"study_design_scores_gemma":[0.0002701542,0.0008271592,0.009913675,0.0001426908,0.0001842058,0.006921434,0.000547188,0.2273259,0.5772661,0.006849512,0.1692912,0.0004608137],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02416495,0.0008555506,0.966206,0.0001580803,0.0002449596,0.0001193633,0.0002470271,0.002295869,0.005708241],"genre_scores_gemma":[0.1673297,0.0007782991,0.8162393,0.0001611495,0.0001080995,0.0001531336,0.0003720201,0.0001741734,0.01468408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004684159,"threshold_uncertainty_score":0.01567006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208013302291789,"score_gpt":0.2501398226343843,"score_spread":0.2380596896114665,"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."}}