{"id":"W2371692342","doi":"","title":"EQUIPMENT AND METHODS USED IN MARINE GEOLOGICAL SURVEY OF CANADA","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coring; Submarine pipeline; Bathymetry; Geological survey; Side-scan sonar; Underwater; Geology; Sonar; Seismic survey; Sampling (signal processing); Work (physics); Survey methodology; Survey research; Marine engineering; Oceanography; Remote sensing; Engineering; Seismology; Drilling","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003784204,0.00003645527,0.00007403106,0.00001918418,0.00001583572,0.000005134923,0.0001213828,0.00001259111,0.00001377174],"category_scores_gemma":[0.00005205998,0.00003002695,0.000004508178,0.0001975605,0.00001362522,0.00003370446,0.00009612654,0.00003072447,8.189644e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002276824,"about_ca_system_score_gemma":0.00009885934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06743234,"about_ca_topic_score_gemma":0.1117655,"domain_scores_codex":[0.9995278,0.00008721398,0.0001185695,0.0001222676,0.00006656973,0.00007764589],"domain_scores_gemma":[0.9995561,0.0002423278,0.00002661061,0.0001113303,0.00003519541,0.00002848772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[7.845038e-7,0.00002938064,0.03115723,0.000002082227,0.00000184313,0.000001324247,0.00001111781,0.0008116998,0.0002605752,0.9508514,0.00009187181,0.01678063],"study_design_scores_gemma":[0.0001974873,0.00004290106,0.7389042,0.000002583973,5.492115e-7,0.000007267282,0.000005614013,0.03592087,0.01146178,0.2107218,0.002602621,0.0001322918],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03369777,0.000008119429,0.9631214,0.0002324829,0.00000919195,0.00006587877,5.189029e-7,0.00001473392,0.002849964],"genre_scores_gemma":[0.4579199,0.000001849759,0.541927,0.0000803567,3.61037e-7,0.000006691907,6.556578e-7,6.134241e-7,0.00006251804],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7401297,"threshold_uncertainty_score":0.9387777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04568461345401222,"score_gpt":0.3532633033733933,"score_spread":0.3075786899193811,"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."}}