{"id":"W6907589289","doi":"10.22008/fk2/wp1tr3/zqx0q5","title":"w50tf12.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":[0.0009479902,0.00289932,0.001908107,0.004632105,0.0007559893,0.002882077,0.003896721,0.002480223,0.269139],"category_scores_gemma":[0.00611036,0.001195072,0.001472121,0.01057295,0.0005199941,0.001869761,0.002082877,0.001855505,0.330713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223075,"about_ca_system_score_gemma":0.00230496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04631489,"about_ca_topic_score_gemma":0.06384533,"domain_scores_codex":[0.9990014,0.0001561821,0.0001045607,0.0003150605,0.0002135591,0.0002092554],"domain_scores_gemma":[0.9978499,0.0006004785,0.0001472593,0.0006116501,0.0005705215,0.0002201296],"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":[0.00002321787,0.000006201233,0.000130806,0.0002380148,0.00001209122,0.000005823442,0.000009482418,0.0001732237,0.00003625161,0.0002242543,0.9984033,0.0007373609],"study_design_scores_gemma":[0.000261239,0.00001303405,0.001437553,0.0001654064,0.00002420845,0.00002322206,0.00005868615,0.000478349,0.0002137182,0.001312122,0.9959859,0.00002646981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002912844,0.00001320435,0.00004126336,0.00002368726,0.00001134607,0.000003373586,0.9990514,0.0003932467,0.0004333647],"genre_scores_gemma":[0.0001409518,0.00002076956,0.0001358822,0.00001971439,0.000004193564,0.00002908926,0.9989253,0.0001943165,0.0005297516],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7308611,"threshold_uncertainty_score":0.9003595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04515016740735384,"score_gpt":0.278376433614425,"score_spread":0.2332262662070712,"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."}}