{"id":"W2749583876","doi":"10.1071/aj14108","title":"South West Hub CCS Project: Lessons to be learned from the 2014 3D seismic survey","year":2015,"lang":"en","type":"article","venue":"The APPEA Journal","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seismic survey; Baseline (sea); Scope (computer science); Quarter (Canadian coin); Government (linguistics); Geological survey; Procurement; Drilling; Environmental resource management; Environmental planning; Engineering; Mining engineering; Geology; Business; Geography; Environmental science; Computer science; Archaeology; Seismology","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":[0.008974273,0.0005486913,0.0004121448,0.001257055,0.00222562,0.002994978,0.001101328,0.001556132,0.006495925],"category_scores_gemma":[0.01040513,0.0002913873,0.0003742979,0.002203696,0.001393269,0.002445433,0.003248115,0.002432188,0.001789433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004256571,"about_ca_system_score_gemma":0.03312744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1785899,"about_ca_topic_score_gemma":0.3720586,"domain_scores_codex":[0.9966016,0.001159089,0.0001686911,0.0002335119,0.001280159,0.0005570207],"domain_scores_gemma":[0.9901383,0.001586933,0.0003128991,0.0005690453,0.005177721,0.002215139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001949069,0.0005198013,0.0392081,0.001489114,0.000042611,0.001462242,0.02874475,0.002267307,0.003083819,0.01845478,0.2817483,0.6227842],"study_design_scores_gemma":[0.00003465974,0.0003766185,0.07528565,0.002367668,0.00003301344,0.0004760266,0.05292566,0.002085102,0.001576814,0.01148691,0.8532338,0.0001181324],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3176728,0.0113298,0.05391595,0.3953075,0.007021615,0.002131651,0.0133525,0.001520902,0.1977473],"genre_scores_gemma":[0.6318885,0.0234065,0.1786043,0.02538931,0.001059404,0.002637296,0.01583136,0.00123245,0.1199509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1785899,"threshold_uncertainty_score":0.3551009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1586424527309901,"score_gpt":0.331770015174637,"score_spread":0.1731275624436469,"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."}}