{"id":"W6926119189","doi":"10.22008/fk2/cs5lka/rkqcwp","title":"w50tfbw4.rtl","year":2022,"lang":"cs","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Aquatic and Environmental Studies","field":"Earth and Planetary Sciences","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":["insufficient_payload"],"category_scores_codex":[0.002469165,0.0006603401,0.001335316,0.00009878021,0.000812525,0.00004966381,0.0007033639,0.0004860983,0.2837621],"category_scores_gemma":[0.0004881323,0.000473112,0.0001819599,0.0003487471,0.001199132,0.00009796357,0.0006636298,0.0007796789,0.000804665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001416966,"about_ca_system_score_gemma":0.00004508855,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05532385,"about_ca_topic_score_gemma":0.01973686,"domain_scores_codex":[0.9951494,0.001361238,0.0008567803,0.0009759127,0.0008450359,0.0008115929],"domain_scores_gemma":[0.9964231,0.002202986,0.0004865461,0.0004892144,0.00003148186,0.000366687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003574397,0.0001286833,0.7636039,0.0001244326,0.0001893626,0.00008071827,0.00004348665,0.00006686864,1.812544e-7,0.000002787141,0.221342,0.01406013],"study_design_scores_gemma":[0.0004642154,0.00100219,0.7278088,0.0000219749,0.0001205086,0.00003093878,0.0001078487,0.0001373665,3.570972e-7,0.0001617342,0.2696776,0.000466501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2288227,0.01614476,0.00003090367,0.0002136003,0.0006654931,0.0004623753,0.7517078,0.00001446787,0.00193794],"genre_scores_gemma":[0.2659503,0.02794679,0.0001183532,0.0005507989,0.0001651711,0.00001100601,0.7031613,0.0000120132,0.002084267],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2829574,"threshold_uncertainty_score":0.9999733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03655949754210952,"score_gpt":0.2260517849477799,"score_spread":0.1894922874056703,"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."}}