{"id":"W2146620868","doi":"10.7122/151349-ms","title":"A Risk-Based Monitoring Plan for the Fort Nelson Feasibility Project","year":2012,"lang":"en","type":"article","venue":"Carbon Management Technology Conference","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Library science; Plan (archaeology); History; Operations research; Computer science; Archaeology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003418675,0.0001245875,0.00009376386,0.00007294582,0.0002154306,0.00002465526,0.0003372542,0.00009362186,0.0001347287],"category_scores_gemma":[0.00007789852,0.00009192083,0.00004581504,0.000249052,0.0002149401,0.00009057464,0.0001560403,0.0001882316,0.00002938871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001267548,"about_ca_system_score_gemma":0.000009738959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001538898,"about_ca_topic_score_gemma":0.00009650755,"domain_scores_codex":[0.999114,0.00003123422,0.0001542997,0.00025228,0.0001190673,0.0003291669],"domain_scores_gemma":[0.9993368,0.00008073665,0.0001009609,0.0004373256,0.00001516256,0.00002904402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003264298,0.0001087053,0.9612539,0.00001230173,0.0000313727,0.000001494242,0.0001036537,0.0001616537,0.0003373858,0.01199443,0.0004423408,0.02552012],"study_design_scores_gemma":[0.001487627,0.0004060072,0.8482744,0.00004954779,0.0003179523,0.00001094518,0.003833182,0.03718836,0.006917174,0.01469329,0.08610039,0.0007211283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8952615,0.0000808008,0.03820039,0.003436555,0.0009784523,0.00299007,0.00001028948,0.0006096837,0.05843229],"genre_scores_gemma":[0.996329,0.00002382951,0.002303089,0.00006738862,0.00003601914,0.0005522086,0.000003307683,0.000006058436,0.0006790934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1129795,"threshold_uncertainty_score":0.3748423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06219165035986555,"score_gpt":0.3074803847706314,"score_spread":0.2452887344107659,"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."}}