{"id":"W4206409932","doi":"10.4095/329265","title":"Datasets to support geoscience language models","year":2021,"lang":"en","type":"report","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Earth science; Computer science; Geology; Data science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008190943,0.0002443224,0.0004577998,0.0001561655,0.0001221874,0.0001445883,0.0005757016,0.0001997345,0.0253118],"category_scores_gemma":[0.0002491743,0.0001708125,0.0001685225,0.0004680141,0.0000362594,0.0001279237,0.00007626566,0.000264201,0.001764244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007758153,"about_ca_system_score_gemma":0.0006003659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03917313,"about_ca_topic_score_gemma":0.03442884,"domain_scores_codex":[0.9972117,0.0000499596,0.0003530772,0.0007976677,0.001112938,0.0004746747],"domain_scores_gemma":[0.9987125,0.00005712202,0.0000873444,0.0006197388,0.0001502631,0.0003730021],"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":[0.000007806349,0.00005315459,0.01452473,0.0001035049,0.0001014259,0.001210591,0.0001632054,0.1966333,0.000005467355,0.0000182859,0.4348178,0.3523608],"study_design_scores_gemma":[0.0001460755,0.0003511069,0.01211939,0.0001319003,0.0002744783,0.0002694841,0.0006001171,0.2318278,0.00002481627,0.0005076368,0.7521655,0.001581643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01685539,0.003640804,0.03023532,0.001251917,0.002070319,0.0003530717,0.0137891,0.0003059944,0.9314981],"genre_scores_gemma":[0.7935512,0.001606552,0.01379202,0.003266713,0.0008240512,0.000003879483,0.05553347,0.00001163861,0.1314105],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8000876,"threshold_uncertainty_score":0.999013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07081916935282905,"score_gpt":0.2945242522094975,"score_spread":0.2237050828566684,"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."}}