{"id":"W4389327935","doi":"10.1130/abs/2023am-390099","title":"INVESTIGATING DEEP TIME: CHALLENGES AND POSSIBILITIES FOR RECONSTRUCTING EARTH HISTORY BACK TO THE ARCHAEAN","year":2023,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Archaeology and Natural History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geological Survey of Canada; University of Saskatchewan","funders":"","keywords":"Archean; Deep time; Earth (classical element); Astrobiology; Geology; Computer science; Earth science; Paleontology; Physics; Astronomy","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001078693,0.0001429658,0.0002660869,0.00002294328,0.0006129457,0.000003950944,0.0002432999,0.0001651951,0.00006483788],"category_scores_gemma":[0.0004367785,0.00009353483,0.0001110613,0.0001864454,0.006669658,0.0001038382,0.0001234554,0.0002939247,0.00002966229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005755799,"about_ca_system_score_gemma":0.0001148867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006650057,"about_ca_topic_score_gemma":0.0004127371,"domain_scores_codex":[0.9984991,0.000160429,0.0002486366,0.0003483688,0.0002302324,0.000513249],"domain_scores_gemma":[0.9982884,0.001060165,0.0002209453,0.0001427749,0.0001162089,0.0001715414],"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":[0.00003989613,0.00003992619,0.003144826,0.00009204568,0.00007332007,0.00000144477,0.1709405,0.00006241683,0.00004696468,0.0006840503,0.00293325,0.8219414],"study_design_scores_gemma":[0.0005711314,0.002306462,0.05988434,0.0001583431,0.00005610891,0.00001166974,0.1181364,0.0007612579,0.00003706191,0.01729484,0.8001724,0.0006099809],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584517,0.007657155,0.00009467419,0.02532214,0.0001721304,0.00146268,0.000004160441,0.0003184116,0.006516876],"genre_scores_gemma":[0.7821457,0.00317284,0.2076842,0.002215174,0.000347982,0.0002102929,0.00002348647,0.00002749991,0.004172754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8213314,"threshold_uncertainty_score":0.9960336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05571357728993113,"score_gpt":0.2791657630020204,"score_spread":0.2234521857120893,"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."}}