{"id":"W4211114783","doi":"10.1190/tle23080726.1","title":"Sneak Previews","year":2004,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Section (typography); Reflection (computer programming); Zhàng; Wavelet; Computer science; Artificial intelligence; Remote sensing; Telecommunications; Operations research; Engineering; Geology; Geography; Advertising; Business; Archaeology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001103669,0.000853942,0.0006061901,0.003897547,0.00210025,0.003173374,0.001314552,0.001882295,0.5167109],"category_scores_gemma":[0.00607282,0.0003233819,0.000619862,0.003194215,0.0005028479,0.002914165,0.002251344,0.002155667,0.3196831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009824838,"about_ca_system_score_gemma":0.002082843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009451647,"about_ca_topic_score_gemma":0.03038977,"domain_scores_codex":[0.9989638,0.00008082728,0.00006045065,0.00008201874,0.0006936371,0.0001191519],"domain_scores_gemma":[0.9967934,0.0005837008,0.000133439,0.0002962196,0.001773004,0.0004201466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007262924,0.000006266348,0.00004589565,0.00003394004,5.566858e-7,0.00004077581,0.00001308297,0.00001397415,0.00004396065,0.0006648427,0.9828542,0.01627508],"study_design_scores_gemma":[9.591233e-7,0.000002410916,0.0001174165,0.00002135912,4.489288e-7,0.00002695551,0.00002212258,0.00001625046,0.00002522164,0.0002182167,0.9995465,0.000002209497],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0009354472,0.00533028,0.003746424,0.02503218,0.1017041,0.0002255649,0.01193112,0.004889673,0.8462052],"genre_scores_gemma":[0.002007864,0.002274814,0.001031799,0.006967499,0.01062719,0.0000768994,0.006515665,0.001120411,0.9693779],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5167109,"threshold_uncertainty_score":0.6893532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02878346091457648,"score_gpt":0.2450707677620235,"score_spread":0.216287306847447,"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."}}