{"id":"W4405613075","doi":"10.1016/j.earscirev.2024.105030","title":"Toward a big-data approach for reconstructing regional to global paleogeography and tectonic histories: Preface","year":2024,"lang":"en","type":"article","venue":"Earth-Science Reviews","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Australian Research Council","keywords":"Palaeogeography; Big data; Tectonics; Geology; Data science; Paleontology; Computer science; Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.001423803,0.0001770602,0.0003426651,0.00009956757,0.0002592633,0.0002189123,0.0007110678,0.00004883464,0.0005042214],"category_scores_gemma":[0.0004423334,0.0001138944,0.0001336876,0.0019082,0.000467794,0.0003028788,0.0001002149,0.000119252,0.0001255225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006909284,"about_ca_system_score_gemma":0.0001034683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002614412,"about_ca_topic_score_gemma":0.0003116359,"domain_scores_codex":[0.9979194,0.0000489432,0.0003405449,0.0009439227,0.00028992,0.0004573025],"domain_scores_gemma":[0.9990567,0.000111573,0.00006088611,0.000409343,0.00004988315,0.0003116328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001425613,0.00001478013,0.02539942,0.0003799474,0.00002057478,0.000002681221,0.0001835284,0.00006706773,0.001722536,0.0002598305,0.001292591,0.9706428],"study_design_scores_gemma":[0.0001269075,0.0002380051,0.00974532,0.0001984182,0.0000998913,0.0001390292,0.000207928,0.01065609,0.000372444,0.00351686,0.9741442,0.0005549442],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1789143,0.5338508,0.2190609,0.009424399,0.003176242,0.004686829,0.001395247,0.0004647012,0.04902657],"genre_scores_gemma":[0.5555838,0.007728069,0.4342826,0.001044585,0.0006164681,0.00004224763,0.0002552989,0.000005393485,0.0004414921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9728516,"threshold_uncertainty_score":0.552087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1245735502972221,"score_gpt":0.2768014456476429,"score_spread":0.1522278953504208,"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."}}