{"id":"W6888830008","doi":"10.22008/fk2/wp1tr3/uhrx50","title":"w50ac3.rtl","year":2022,"lang":"cs","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.01253771,0.00201461,0.004079298,0.0007072144,0.001053989,0.0001816532,0.002557807,0.002059657,0.2316221],"category_scores_gemma":[0.005296633,0.001660905,0.0006324815,0.002059155,0.002329884,0.00022852,0.004432177,0.003251274,0.004298388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001821291,"about_ca_system_score_gemma":0.0004050578,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02811197,"about_ca_topic_score_gemma":0.0186969,"domain_scores_codex":[0.9806013,0.009382735,0.0025591,0.002881143,0.002321525,0.002254182],"domain_scores_gemma":[0.9876927,0.006197776,0.002024331,0.002325145,0.0006189166,0.001141118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002568166,0.0009351309,0.3997106,0.000368306,0.0006277252,0.0004719053,0.00003197788,0.00003201238,0.00001033177,0.00002046648,0.5928208,0.002402584],"study_design_scores_gemma":[0.001940373,0.001554831,0.5621645,0.0000752309,0.0004285789,0.0001687459,0.00003501945,0.00005548055,0.000002881587,0.000242098,0.4320709,0.001261401],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1499162,0.00902878,0.00001570215,0.0001191254,0.0009910325,0.001085675,0.838112,0.00007260786,0.0006588617],"genre_scores_gemma":[0.06304343,0.00671322,0.0001165377,0.0003612779,0.0003219561,0.0001134789,0.9270659,0.0001603717,0.002103826],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2273237,"threshold_uncertainty_score":0.9992597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04526660351752165,"score_gpt":0.278450120105301,"score_spread":0.2331835165877793,"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."}}