{"id":"W6907571952","doi":"10.22008/fk2/wp1tr3/x82lqh","title":"wshdgrya4.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":[0.0009702408,0.002962299,0.001864524,0.005278221,0.0008245611,0.003004907,0.003708972,0.002485421,0.2017661],"category_scores_gemma":[0.005552349,0.001258892,0.001787863,0.00928653,0.0005516583,0.001593265,0.002334213,0.001884638,0.2519064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001319909,"about_ca_system_score_gemma":0.002608178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04336153,"about_ca_topic_score_gemma":0.06298785,"domain_scores_codex":[0.998958,0.00016898,0.0001181845,0.0003237663,0.0002223279,0.0002087839],"domain_scores_gemma":[0.9978351,0.0006288373,0.0001644825,0.0006052247,0.000542221,0.0002241776],"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":[0.00003476869,0.000008472578,0.0002629834,0.0003191636,0.00001930625,0.00001007604,0.00001283951,0.0002071025,0.00005164286,0.0002955288,0.9979765,0.0008014989],"study_design_scores_gemma":[0.0002843371,0.00001584505,0.002504598,0.0001820297,0.00003330677,0.00004011411,0.00007749531,0.0005499694,0.000291612,0.001275219,0.9947106,0.00003478318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000390676,0.00001339078,0.00003281953,0.00002071715,0.000009486585,0.000003093319,0.999225,0.0003314121,0.0003249187],"genre_scores_gemma":[0.0001510648,0.00001804346,0.000124755,0.00001646989,0.000003551653,0.00002609417,0.9991242,0.000130878,0.0004048977],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7982339,"threshold_uncertainty_score":0.6749748,"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."}}