{"id":"W2792618079","doi":"10.4095/306531","title":"Near surface seismic database: future online GSC data delivery","year":2018,"lang":"en","type":"report","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Database; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001085937,0.0004132112,0.0006468981,0.00005293711,0.0002851615,0.0001657499,0.001644901,0.0004797481,0.02598627],"category_scores_gemma":[0.0001622316,0.0002742566,0.000152892,0.0003399766,0.000148993,0.0002554409,0.0002522063,0.0006467347,0.002846573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000778296,"about_ca_system_score_gemma":0.0008059223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05154544,"about_ca_topic_score_gemma":0.031866,"domain_scores_codex":[0.9965625,0.0001138022,0.0005206984,0.001210098,0.001072175,0.0005207021],"domain_scores_gemma":[0.9970064,0.0001086182,0.0002335874,0.002045881,0.0003423488,0.0002631539],"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":[0.0000201006,0.00005792723,0.03976022,0.0001155609,0.0002604334,0.0001208265,0.00001307219,0.03644091,6.809655e-7,3.862569e-7,0.8679362,0.05527367],"study_design_scores_gemma":[0.00005056455,0.00004100624,0.003481224,0.0000382355,0.0001703275,0.00003110063,0.00005626971,0.4029639,3.230056e-7,0.00001192607,0.5928652,0.0002899378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5607257,0.07660367,0.006949304,0.008738678,0.01463025,0.0009364267,0.1549904,0.001346155,0.1750795],"genre_scores_gemma":[0.2496877,0.05095366,0.04574923,0.002191141,0.01296248,3.733957e-7,0.5518002,0.00003409184,0.0866212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3968098,"threshold_uncertainty_score":0.999971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08863271369024157,"score_gpt":0.2868953398894475,"score_spread":0.198262626199206,"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."}}