{"id":"W4393520862","doi":"10.5281/zenodo.4762586","title":"SC-Earth: A Station-based Serially Complete Earth Dataset from 1950 to 2019","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Earth (classical element); Earth observation; Geology; Remote sensing; Geodesy; Astrobiology; Computer science; Engineering; Satellite; Physics; Astronomy; Aerospace engineering","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":[0.000641333,0.0007547444,0.0004689007,0.002419667,0.000386033,0.0006594461,0.001271156,0.0007249881,0.006281902],"category_scores_gemma":[0.002639628,0.0002204447,0.0006884896,0.004561898,0.0002660342,0.0008390425,0.001101229,0.0007338931,0.005956973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007966802,"about_ca_system_score_gemma":0.001853199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09431255,"about_ca_topic_score_gemma":0.1399017,"domain_scores_codex":[0.9995363,0.00006031427,0.00007640998,0.0001284371,0.0001307138,0.00006796284],"domain_scores_gemma":[0.9987321,0.0001263624,0.0001691472,0.0002684686,0.0006038106,0.00009996915],"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":[0.000255365,0.00007179335,0.03101723,0.0005931777,0.0002321876,0.0002533504,0.000143998,0.005829124,0.001005417,0.001800024,0.9405031,0.01829543],"study_design_scores_gemma":[0.0003519797,0.00008443605,0.1675341,0.0004387705,0.0001386519,0.000253455,0.0005684075,0.01415282,0.002631491,0.002387689,0.8112908,0.0001674545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006116993,0.0001076011,0.0004934767,0.0001577907,0.00004999958,0.00002097615,0.991761,0.000360964,0.0009312507],"genre_scores_gemma":[0.006641378,0.00006104959,0.0007974154,0.0000322437,0.00001244742,0.0000422107,0.9918907,0.00003497995,0.00048757],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09431255,"threshold_uncertainty_score":0.1875272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06267323065593154,"score_gpt":0.2500278130540256,"score_spread":0.187354582398094,"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."}}