{"id":"W6888866890","doi":"10.22008/fk2/wp1tr3/vohwvd","title":"w50vg9.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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008686487,0.003072396,0.001984974,0.004792173,0.0006908463,0.003011405,0.003863375,0.002402083,0.2398245],"category_scores_gemma":[0.004789107,0.001240813,0.001480902,0.01032073,0.00052062,0.001896093,0.002115652,0.001910619,0.3088582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112607,"about_ca_system_score_gemma":0.002011825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0409217,"about_ca_topic_score_gemma":0.05823857,"domain_scores_codex":[0.9991089,0.0001356148,0.00009116251,0.0002934517,0.0001870326,0.0001839672],"domain_scores_gemma":[0.9984102,0.0004248553,0.0001213364,0.0004682152,0.0004041296,0.0001712865],"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":[0.00002299613,0.000006294514,0.000146982,0.0002579236,0.00001514523,0.000006181579,0.00001026635,0.0001940971,0.00003859484,0.0002587368,0.99822,0.0008227762],"study_design_scores_gemma":[0.0002534429,0.00001209832,0.001440532,0.0001782247,0.00002793295,0.00002410114,0.00005696034,0.0005300343,0.0002104533,0.00144527,0.9957926,0.00002838303],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003090601,0.00001627482,0.00004584746,0.00002421112,0.00001227451,0.000003372615,0.9989123,0.0004861589,0.0004686451],"genre_scores_gemma":[0.0001480094,0.00002414628,0.0001551596,0.0000207817,0.000004270262,0.00002620279,0.998882,0.00022557,0.0005137942],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7601755,"threshold_uncertainty_score":0,"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."}}