{"id":"W6888902388","doi":"10.22008/fk2/wp1tr3/y9xo6p","title":"wi20cnd.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":[0.0008496265,0.002772993,0.001806235,0.004804731,0.000719364,0.002994013,0.003657472,0.002144489,0.2306343],"category_scores_gemma":[0.005569785,0.001072715,0.001298808,0.01117487,0.0004709555,0.001838101,0.002041918,0.001823179,0.2924914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001373981,"about_ca_system_score_gemma":0.002351676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05435914,"about_ca_topic_score_gemma":0.08310349,"domain_scores_codex":[0.9991424,0.0001292595,0.00008794724,0.0002815716,0.0001865442,0.0001723017],"domain_scores_gemma":[0.9981092,0.0004415121,0.0001486258,0.0005599539,0.0005375243,0.0002031034],"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":[0.00001921261,0.000005834722,0.0001581702,0.0001930058,0.00001147092,0.000005049854,0.000007411558,0.0001372285,0.00002369781,0.0002254204,0.9984607,0.0007528126],"study_design_scores_gemma":[0.0002004226,0.000008765227,0.001365788,0.0001383768,0.00002118089,0.00001951309,0.00004842634,0.0004243554,0.0001481833,0.001084926,0.9965196,0.00002042323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000268196,0.00001475933,0.00003415032,0.00002346329,0.00001032669,0.000003145605,0.9991116,0.0003118746,0.0004638116],"genre_scores_gemma":[0.000139476,0.0000245693,0.000136945,0.00002108206,0.000004665785,0.00002845884,0.9988781,0.0001345616,0.0006322649],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7693657,"threshold_uncertainty_score":0.7715486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0446035847862957,"score_gpt":0.2775827529575456,"score_spread":0.2329791681712499,"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."}}