{"id":"W6963674795","doi":"10.22008/fk2/wp1tr3/plztkr","title":"c50acbw3.rtl","year":2022,"lang":"cs","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Plant Ecology and Soil Science","field":"Environmental Science","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":[0.001339831,0.003175175,0.002328834,0.005602338,0.001106034,0.003908935,0.004410317,0.003013294,0.2756786],"category_scores_gemma":[0.007645755,0.001410565,0.00171384,0.01216124,0.0006505374,0.002006757,0.002657077,0.001988083,0.3491845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547899,"about_ca_system_score_gemma":0.002767172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03838903,"about_ca_topic_score_gemma":0.05123473,"domain_scores_codex":[0.9985778,0.0002441196,0.0001585881,0.0004825938,0.000251729,0.0002850911],"domain_scores_gemma":[0.997169,0.0008085124,0.000225118,0.0008132827,0.0006572006,0.0003268309],"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":[0.00002838504,0.000006943222,0.0001670131,0.0003492674,0.00001773607,0.000005266486,0.00001151952,0.0001400926,0.0000364238,0.0002407922,0.9983764,0.0006200723],"study_design_scores_gemma":[0.0002935506,0.00001079637,0.001253775,0.0001844285,0.0000294038,0.00002260054,0.00005345648,0.0002902685,0.0001770142,0.001191681,0.996465,0.00002799401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002341086,0.00001679317,0.00002734577,0.00001805731,0.000007787126,0.000003583282,0.9992441,0.0003521746,0.0003067312],"genre_scores_gemma":[0.0001425381,0.00002666519,0.0001424662,0.00002798884,0.000003972047,0.00004148215,0.9989656,0.0002509833,0.0003982554],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7243214,"threshold_uncertainty_score":0.9222367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02575049352885537,"score_gpt":0.2407325988321759,"score_spread":0.2149821053033206,"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."}}