{"id":"W4403504805","doi":"10.1130/abs/2024ne-397219","title":"THE PROVENANCE AND TECTONIC HISTORY OF DASHWOODS","year":2024,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Provenance; Tectonics; Geology; Computer science; Earth science; Paleontology","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":[0.002110777,0.0001484828,0.0001416425,0.003706147,0.002501293,0.003195099,0.0006257715,0.000357948,0.01692079],"category_scores_gemma":[0.01169093,0.000408451,0.0001541807,0.005998718,0.002443599,0.003015263,0.001127165,0.001061754,0.001634295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002189003,"about_ca_system_score_gemma":0.002034716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02621951,"about_ca_topic_score_gemma":0.06568215,"domain_scores_codex":[0.9990535,0.0001664052,0.00007044021,0.0002560502,0.0003565336,0.00009701042],"domain_scores_gemma":[0.990454,0.001933204,0.001043564,0.0022748,0.00389458,0.0003999445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000861755,0.0001314522,0.1336477,0.0003841803,0.00006829217,0.001208301,0.02299909,0.003201966,0.01161187,0.3830967,0.01710783,0.4256809],"study_design_scores_gemma":[0.00003944542,0.0000922553,0.1609017,0.0004678322,0.00006544114,0.0005452326,0.007586204,0.003143922,0.008120817,0.04664225,0.7723268,0.00006810762],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7072402,0.00216389,0.02795152,0.002473404,0.0005762111,0.0001193474,0.006259657,0.000578566,0.2526372],"genre_scores_gemma":[0.9514796,0.0008813953,0.008418393,0.0001053928,0.00008225688,0.0000229478,0.002106253,0.0004636146,0.03644011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02621951,"threshold_uncertainty_score":0.05660564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309650395544414,"score_gpt":0.230697443154004,"score_spread":0.2176009391985599,"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."}}