{"id":"W6926298183","doi":"10.22008/fk2/cs5lka/cadsij","title":"w50acbwt5.rtl","year":2022,"lang":"cs","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002465551,0.0008739231,0.001379416,0.0001152228,0.001017294,0.00004892472,0.001018655,0.0006046225,0.238111],"category_scores_gemma":[0.0003015109,0.0006932521,0.0003266972,0.0006474777,0.002476362,0.0001301569,0.003764474,0.001000267,0.0007599414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008323546,"about_ca_system_score_gemma":0.00001436494,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02761585,"about_ca_topic_score_gemma":0.008272708,"domain_scores_codex":[0.9940861,0.001391149,0.0009547381,0.001427453,0.001097025,0.001043568],"domain_scores_gemma":[0.9971678,0.00106082,0.0005587488,0.0007709101,0.00001669368,0.000425042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000332745,0.0005254003,0.7896795,0.00009140377,0.0002077672,0.00008090486,0.00005035965,0.00009615567,0.000008909104,0.000002923039,0.2016934,0.00723055],"study_design_scores_gemma":[0.0006254147,0.0008805213,0.7333648,0.00002133379,0.0001419989,0.00003073684,0.00008577051,0.00001271921,0.000003259992,0.0001926932,0.2640102,0.0006304961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4892648,0.006199073,0.00001449012,0.000183712,0.0005304557,0.0006122645,0.5018182,0.00001951275,0.0013575],"genre_scores_gemma":[0.5944083,0.03647954,0.0001704043,0.0006606029,0.000131811,0.0001203166,0.3662343,0.00004712194,0.001747616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.237351,"threshold_uncertainty_score":0.9995519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02349218186457355,"score_gpt":0.2257714615851719,"score_spread":0.2022792797205984,"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."}}