{"id":"W2022732103","doi":"10.3997/2214-4609.20141478","title":"Time-lapse Seismic without Repetition - Reaping the Benefits from Randomized Sampling and Joint Recovery","year":2014,"lang":"en","type":"article","venue":"Proceedings","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Joint (building); Sampling (signal processing); Computer science; Repetition (rhetorical device); Engineering; Structural engineering; Telecommunications","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":[0.001145457,0.0005242554,0.0004418134,0.0002738355,0.0003164553,0.0004836987,0.0008093764,0.0006804691,0.001657111],"category_scores_gemma":[0.005394616,0.0003290485,0.0003513091,0.0004835493,0.001096742,0.0011879,0.001113458,0.001064488,0.0005393799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003180914,"about_ca_system_score_gemma":0.0008433227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001809618,"about_ca_topic_score_gemma":0.002516224,"domain_scores_codex":[0.9993894,0.0002097686,0.00002778228,0.0001023935,0.0002176495,0.0000529336],"domain_scores_gemma":[0.9977821,0.0009464836,0.0002359923,0.0007521413,0.0002090293,0.00007431664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001040966,0.0001702213,0.002716836,0.0001390253,0.00007340247,0.0002606474,0.0001823429,0.6502517,0.08458687,0.1051753,0.003773432,0.1516292],"study_design_scores_gemma":[0.0000280567,0.0001041333,0.0004134526,0.00001099714,0.000009523315,0.00008823025,0.00002462408,0.9649099,0.01385254,0.01863842,0.001898718,0.00002148267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02632689,0.00006968511,0.971252,0.0002803899,0.00003241239,0.00002013034,0.00006551493,0.0004764806,0.001476446],"genre_scores_gemma":[0.4592201,0.0001301898,0.5378112,0.0001695717,0.00006043025,0.00009318065,0.0002725096,0.0001811859,0.002061603],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001809618,"threshold_uncertainty_score":0.006057799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167022723986572,"score_gpt":0.2018265728153444,"score_spread":0.1851243004166871,"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."}}