{"id":"W4280567068","doi":"10.1071/aj21183","title":"Marine measurement, monitoring and verification for offshore carbon storage projects – learnings from a coastal Gippsland setting","year":2022,"lang":"en","type":"article","venue":"The APPEA Journal","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kensington Health","funders":"","keywords":"Subsea; Carbon capture and storage (timeline); Submarine pipeline; Baseline (sea); Environmental science; Environmental resource management; Computer science; Systems engineering; Climate change; Engineering; Oceanography; Marine engineering","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":[0.00868294,0.0007184634,0.000369072,0.001251033,0.001791392,0.003762664,0.00229418,0.001596503,0.00181064],"category_scores_gemma":[0.01421349,0.0003526648,0.0003826317,0.00129849,0.002737048,0.002859722,0.005127179,0.00207594,0.0004099305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006996765,"about_ca_system_score_gemma":0.01664406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1500962,"about_ca_topic_score_gemma":0.2786257,"domain_scores_codex":[0.9951881,0.001895355,0.0002445603,0.0005236123,0.001511183,0.000637149],"domain_scores_gemma":[0.9903002,0.002773208,0.001075857,0.00132169,0.002795592,0.00173348],"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":[0.0004179317,0.0006255432,0.1492127,0.0008390866,0.0001002382,0.00503817,0.02002779,0.03364753,0.01655394,0.02106185,0.01619088,0.7362843],"study_design_scores_gemma":[0.0002241457,0.002643797,0.4172292,0.004295075,0.0001510189,0.002812976,0.1168162,0.07419877,0.02796752,0.04542259,0.3076913,0.0005475009],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8135172,0.007009987,0.05497184,0.06679228,0.0005051698,0.0006429499,0.0008028245,0.0005917582,0.05516605],"genre_scores_gemma":[0.8963993,0.005306845,0.08724155,0.00177836,0.0001461692,0.0002478231,0.0005525597,0.0001044594,0.008222872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1500962,"threshold_uncertainty_score":0.2984452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.014722614840623,"score_gpt":0.2019391657977432,"score_spread":0.1872165509571201,"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."}}